diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 3c95bc744..9ac58f0d8 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -49,6 +49,7 @@ Bugs
 - Fix number of sessions in doc of :class:`moabb.datasets.Sosulski2019` (:gh:`565` by `Pierre Guetschel`_)
 - Fix `code` column of :class:`moabb.datasets.CastillosCVEP100` and :class:`moabb.datasets.CastillosCVEP100` (:gh:`567` by `Pierre Guetschel`_)
 - MAINT updating the packages pre-release (:gh:`578` by `Bruno Aristimunha`_)
+- Fix mne_bids version incompatibility with mne (:gh:`586` by `Bruna Lopes`_)
 - Updating the parameters of the SSVEP_TRCA method (:gh:`589` by `Bruno Aristimunha`_)
 - Fix and updating the parameters for the benchmark function (:gh:`588` by `Bruno Aristimunha`_)
 - Fix :class:`moabb.datasets.preprocessing.SetRawAnnotations` setting incorrect annotations when the dataset's interval does not start at 0 (:gh:`607` by `Pierre Guetschel`_)
@@ -449,4 +450,5 @@ API changes
 .. _Jordy Thielen: https://github.com/thijor
 .. _Sebastien Velut: https://github.com/swetbear
 .. _Brian Irvine: https://github.com/brianjohannes
+.. _Bruna Lopes: https://github.com/brunaafl
 .. _Yash Chauhan: https://github.com/jiggychauhi
diff --git a/examples/pipelines_DL/Keras_DeepConvNet.yml b/examples/pipelines_DL/Keras_DeepConvNet.yml
index 911b6c21b..c5f63f113 100644
--- a/examples/pipelines_DL/Keras_DeepConvNet.yml
+++ b/examples/pipelines_DL/Keras_DeepConvNet.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/examples/pipelines_DL/Keras_EEGITNet.yml b/examples/pipelines_DL/Keras_EEGITNet.yml
index a625a9413..705060482 100644
--- a/examples/pipelines_DL/Keras_EEGITNet.yml
+++ b/examples/pipelines_DL/Keras_EEGITNet.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/examples/pipelines_DL/Keras_EEGNeX.yml b/examples/pipelines_DL/Keras_EEGNeX.yml
index c9da8efec..6d775b5ae 100644
--- a/examples/pipelines_DL/Keras_EEGNeX.yml
+++ b/examples/pipelines_DL/Keras_EEGNeX.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/examples/pipelines_DL/Keras_EEGNet_8_2.yml b/examples/pipelines_DL/Keras_EEGNet_8_2.yml
index 28a4340b6..c2d26ee68 100644
--- a/examples/pipelines_DL/Keras_EEGNet_8_2.yml
+++ b/examples/pipelines_DL/Keras_EEGNet_8_2.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/examples/pipelines_DL/Keras_EEGTCNet.yml b/examples/pipelines_DL/Keras_EEGTCNet.yml
index 8008283c6..4db2f17b6 100644
--- a/examples/pipelines_DL/Keras_EEGTCNet.yml
+++ b/examples/pipelines_DL/Keras_EEGTCNet.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/examples/pipelines_DL/Keras_ShallowConvNet.yml b/examples/pipelines_DL/Keras_ShallowConvNet.yml
index 52f609dce..702169ef8 100644
--- a/examples/pipelines_DL/Keras_ShallowConvNet.yml
+++ b/examples/pipelines_DL/Keras_ShallowConvNet.yml
@@ -25,7 +25,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 2
diff --git a/moabb/pipelines/deep_learning.py b/moabb/pipelines/deep_learning.py
index d31564352..cb1f558c0 100644
--- a/moabb/pipelines/deep_learning.py
+++ b/moabb/pipelines/deep_learning.py
@@ -10,7 +10,6 @@
 from typing import Any, Dict
 
 import tensorflow as tf
-from keras import backend as K
 from keras.constraints import max_norm
 from keras.layers import (
     Activation,
@@ -31,7 +30,9 @@
     Permute,
 )
 from keras.models import Model, Sequential
+from keras.ops import pad
 from scikeras.wrappers import KerasClassifier
+from tensorflow.keras import backend as K
 
 from moabb.pipelines.utils_deep_model import EEGNet, EEGNet_TC, TCN_block
 
@@ -728,15 +729,15 @@ def _keras_build_fn(self, compile_kwargs: Dict[str, Any]):
 
         # ================================
 
-        paddings = tf.constant([[0, 0], [0, 0], [3, 0], [0, 0]])
-        block = tf.pad(block_in, paddings, "CONSTANT")
+        paddings = [[0, 0], [0, 0], [3, 0], [0, 0]]
+        block = pad(block_in, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 1)
         )(block)
         block = BatchNormalization()(block)
         block = Activation("elu")(block)
         block = Dropout(0.4)(block)
-        block = tf.pad(block, paddings, "CONSTANT")
+        block = pad(block, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 1)
         )(block)
@@ -745,15 +746,16 @@ def _keras_build_fn(self, compile_kwargs: Dict[str, Any]):
         block = Dropout(self.drop_rate)(block)
         block_out = Add()([block_in, block])
 
-        paddings = tf.constant([[0, 0], [0, 0], [6, 0], [0, 0]])
-        block = tf.pad(block_out, paddings, "CONSTANT")
+        paddings = [[0, 0], [0, 0], [6, 0], [0, 0]]
+        block = pad(block_out, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 2)
         )(block)
         block = BatchNormalization()(block)
         block = Activation("elu")(block)
         block = Dropout(self.drop_rate)(block)
-        block = tf.pad(block, paddings, "CONSTANT")
+        print(block.dtype)
+        block = pad(block, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 2)
         )(block)
@@ -762,15 +764,15 @@ def _keras_build_fn(self, compile_kwargs: Dict[str, Any]):
         block = Dropout(self.drop_rate)(block)
         block_out = Add()([block_out, block])
 
-        paddings = tf.constant([[0, 0], [0, 0], [12, 0], [0, 0]])
-        block = tf.pad(block_out, paddings, "CONSTANT")
+        paddings = [[0, 0], [0, 0], [12, 0], [0, 0]]
+        block = pad(block_out, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 4)
         )(block)
         block = BatchNormalization()(block)
         block = Activation("elu")(block)
         block = Dropout(self.drop_rate)(block)
-        block = tf.pad(block, paddings, "CONSTANT")
+        block = pad(block, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 4)
         )(block)
@@ -779,15 +781,15 @@ def _keras_build_fn(self, compile_kwargs: Dict[str, Any]):
         block = Dropout(self.drop_rate)(block)
         block_out = Add()([block_out, block])
 
-        paddings = tf.constant([[0, 0], [0, 0], [24, 0], [0, 0]])
-        block = tf.pad(block_out, paddings, "CONSTANT")
+        paddings = [[0, 0], [0, 0], [24, 0], [0, 0]]
+        block = pad(block_out, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 8)
         )(block)
         block = BatchNormalization()(block)
         block = Activation("elu")(block)
         block = Dropout(self.drop_rate)(block)
-        block = tf.pad(block, paddings, "CONSTANT")
+        block = pad(block, paddings, "constant")
         block = DepthwiseConv2D(
             (1, 4), padding="valid", depth_multiplier=1, dilation_rate=(1, 8)
         )(block)
diff --git a/pipelines/Keras_DeepConvNet.yml b/pipelines/Keras_DeepConvNet.yml
index d09abc11b..ae0101f6b 100644
--- a/pipelines/Keras_DeepConvNet.yml
+++ b/pipelines/Keras_DeepConvNet.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/pipelines/Keras_EEGITNet.yml b/pipelines/Keras_EEGITNet.yml
index 0920d4bae..b78557243 100644
--- a/pipelines/Keras_EEGITNet.yml
+++ b/pipelines/Keras_EEGITNet.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/pipelines/Keras_EEGNeX.yml b/pipelines/Keras_EEGNeX.yml
index bdf8ff241..8c08a6edb 100644
--- a/pipelines/Keras_EEGNeX.yml
+++ b/pipelines/Keras_EEGNeX.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/pipelines/Keras_EEGNet_8_2.yml b/pipelines/Keras_EEGNet_8_2.yml
index f7113df86..5ed67194d 100644
--- a/pipelines/Keras_EEGNet_8_2.yml
+++ b/pipelines/Keras_EEGNet_8_2.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/pipelines/Keras_EEGTCNet.yml b/pipelines/Keras_EEGTCNet.yml
index 1f15098e8..f68ed0834 100644
--- a/pipelines/Keras_EEGTCNet.yml
+++ b/pipelines/Keras_EEGTCNet.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/pipelines/Keras_ShallowConvNet.yml b/pipelines/Keras_ShallowConvNet.yml
index 4615010c9..626d428fa 100644
--- a/pipelines/Keras_ShallowConvNet.yml
+++ b/pipelines/Keras_ShallowConvNet.yml
@@ -27,7 +27,7 @@ pipeline:
       loss: "sparse_categorical_crossentropy"
       optimizer:
         - name: Adam
-          from: tensorflow.keras.optimizers.legacy
+          from: tensorflow.keras.optimizers
           parameters:
             learning_rate: 0.001
       epochs: 300
diff --git a/poetry.lock b/poetry.lock
index 959c6f3a0..f50b654c6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -135,17 +135,6 @@ docs = ["ipython", "lightning", "memory-profiler", "numpydoc", "pillow", "pre-co
 moabb = ["moabb (>=1.0.0)"]
 tests = ["codecov", "pytest", "pytest-cases", "pytest-cov"]
 
-[[package]]
-name = "cachetools"
-version = "5.3.3"
-description = "Extensible memoizing collections and decorators"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
-    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
-]
-
 [[package]]
 name = "certifi"
 version = "2024.2.2"
@@ -507,6 +496,20 @@ files = [
     {file = "docutils-0.18.1.tar.gz", hash = "sha256:679987caf361a7539d76e584cbeddc311e3aee937877c87346f31debc63e9d06"},
 ]
 
+[[package]]
+name = "edfio"
+version = "0.4.2"
+description = "Read and write EDF/EDF+ files."
+optional = false
+python-versions = "<4.0,>=3.9"
+files = [
+    {file = "edfio-0.4.2-py3-none-any.whl", hash = "sha256:8bf3c1886302ed7399558c7040715754c035234e7500477361a083319c013b48"},
+    {file = "edfio-0.4.2.tar.gz", hash = "sha256:847587bcd31e2086bf7474f07f3a398a66528c73517195cbbfb965ab8e70cccb"},
+]
+
+[package.dependencies]
+numpy = ">=1.22.0"
+
 [[package]]
 name = "edflib-python"
 version = "1.0.8"
@@ -649,47 +652,6 @@ files = [
     {file = "gast-0.4.0.tar.gz", hash = "sha256:40feb7b8b8434785585ab224d1568b857edb18297e5a3047f1ba012bc83b42c1"},
 ]
 
-[[package]]
-name = "google-auth"
-version = "2.29.0"
-description = "Google Authentication Library"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "google-auth-2.29.0.tar.gz", hash = "sha256:672dff332d073227550ffc7457868ac4218d6c500b155fe6cc17d2b13602c360"},
-    {file = "google_auth-2.29.0-py2.py3-none-any.whl", hash = "sha256:d452ad095688cd52bae0ad6fafe027f6a6d6f560e810fec20914e17a09526415"},
-]
-
-[package.dependencies]
-cachetools = ">=2.0.0,<6.0"
-pyasn1-modules = ">=0.2.1"
-rsa = ">=3.1.4,<5"
-
-[package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
-enterprise-cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
-reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
-
-[[package]]
-name = "google-auth-oauthlib"
-version = "1.0.0"
-description = "Google Authentication Library"
-optional = true
-python-versions = ">=3.6"
-files = [
-    {file = "google-auth-oauthlib-1.0.0.tar.gz", hash = "sha256:e375064964820b47221a7e1b7ee1fd77051b6323c3f9e3e19785f78ab67ecfc5"},
-    {file = "google_auth_oauthlib-1.0.0-py2.py3-none-any.whl", hash = "sha256:95880ca704928c300f48194d1770cf5b1462835b6e49db61445a520f793fd5fb"},
-]
-
-[package.dependencies]
-google-auth = ">=2.15.0"
-requests-oauthlib = ">=0.7.0"
-
-[package.extras]
-tool = ["click (>=6.0.0)"]
-
 [[package]]
 name = "google-pasta"
 version = "0.2.0"
@@ -773,40 +735,36 @@ protobuf = ["grpcio-tools (>=1.62.2)"]
 
 [[package]]
 name = "h5py"
-version = "3.8.0"
+version = "3.11.0"
 description = "Read and write HDF5 files from Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "h5py-3.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:533d7dad466ddb7e3b30af274b630eb7c1a6e4ddf01d1c373a0334dc2152110a"},
-    {file = "h5py-3.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c873ba9fd4fa875ad62ce0e4891725e257a8fe7f5abdbc17e51a5d54819be55c"},
-    {file = "h5py-3.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98a240cd4c1bfd568aaa52ec42d263131a2582dab82d74d3d42a0d954cac12be"},
-    {file = "h5py-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3389b63222b1c7a158bb7fe69d11ca00066740ec5574596d47a2fe5317f563a"},
-    {file = "h5py-3.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:7f3350fc0a8407d668b13247861c2acd23f7f5fe7d060a3ad9b0820f5fcbcae0"},
-    {file = "h5py-3.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:db03e3f2c716205fbdabb34d0848459840585225eb97b4f08998c743821ca323"},
-    {file = "h5py-3.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:36761693efbe53df179627a775476dcbc37727d6e920958277a7efbc18f1fb73"},
-    {file = "h5py-3.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a506fc223def428f4329e7e1f9fe1c8c593eab226e7c0942c8d75308ad49950"},
-    {file = "h5py-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33b15aae79e9147aebe1d0e54099cbcde8d65e3e227cd5b59e49b1272aa0e09d"},
-    {file = "h5py-3.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:9f6f6ffadd6bfa9b2c5b334805eb4b19ca0a5620433659d8f7fb86692c40a359"},
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 ]
 
 [package.dependencies]
-numpy = ">=1.14.5"
+numpy = ">=1.17.3"
 
 [[package]]
 name = "identify"
@@ -922,15 +880,24 @@ files = [
 
 [[package]]
 name = "keras"
-version = "2.13.1"
-description = "Deep learning for humans."
+version = "3.3.3"
+description = "Multi-backend Keras."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "keras-3.3.3-py3-none-any.whl", hash = "sha256:260df9ef71c6b89eb6816ce1c60f139c38ccdddd16f24e7005d2be127cdef8e4"},
+    {file = "keras-3.3.3.tar.gz", hash = "sha256:f2fdffc8434fd77045cf8fb21816dbaa2308d5f76974ca924b2f60b40433b1a0"},
 ]
 
+[package.dependencies]
+absl-py = "*"
+h5py = "*"
+ml-dtypes = "*"
+namex = "*"
+numpy = "*"
+optree = "*"
+rich = "*"
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.5"
@@ -1125,6 +1092,30 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
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+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -1243,6 +1234,17 @@ pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
+
 [[package]]
 name = "memory-profiler"
 version = "0.61.0"
@@ -1268,15 +1270,52 @@ files = [
     {file = "mistune-0.8.4.tar.gz", hash = "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e"},
 ]
 
+[[package]]
+name = "ml-dtypes"
+version = "0.3.2"
+description = ""
+optional = true
+python-versions = ">=3.9"
+files = [
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+    {file = "ml_dtypes-0.3.2.tar.gz", hash = "sha256:533059bc5f1764fac071ef54598db358c167c51a718f68f5bb55e3dee79d2967"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">1.20", markers = "python_version < \"3.10\""},
+    {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+
+[package.extras]
+dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
+
 [[package]]
 name = "mne"
-version = "1.6.1"
+version = "1.7.0"
 description = "MNE-Python project for MEG and EEG data analysis."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "mne-1.6.1-py3-none-any.whl", hash = "sha256:4d36517c1eafd2399d8f1fbd62cf9416d8b2ec98cd65b1dfed2876c4220bf0f9"},
-    {file = "mne-1.6.1.tar.gz", hash = "sha256:e4f5683d01cef675eddad788bdb6b44cc015dff0fb1ddfca3c4105edfb757ef8"},
+    {file = "mne-1.7.0-py3-none-any.whl", hash = "sha256:dd3e0b13748b000d11b841316d7f544a1b16af611df80ac2bfe6ade6b8b92fa6"},
+    {file = "mne-1.7.0.tar.gz", hash = "sha256:a6c8fce601e3b3559875825f527da7c72dbd19fcb9d206692f94c98ae5f0fce0"},
 ]
 
 [package.dependencies]
@@ -1291,22 +1330,22 @@ scipy = ">=1.7.1"
 tqdm = "*"
 
 [package.extras]
-dev = ["mne[doc,test]"]
-doc = ["graphviz", "ipython (!=8.7.0)", "memory-profiler", "mne-bids", "mne-connectivity", "mne-gui-addons", "neo", "numpydoc", "pydata-sphinx-theme (==0.13.3)", "pygments (>=2.13)", "pytest", "pyxdf", "pyzmq (!=24.0.0)", "seaborn (!=0.11.2)", "selenium", "sphinx (>=6)", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinxcontrib-bibtex (>=2.5)", "sphinxcontrib-youtube"]
-full = ["EDFlib-Python", "PyQt6 (!=6.6.1)", "PyQt6-Qt6 (!=6.6.1)", "darkdetect", "defusedxml", "dipy", "eeglabio", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "mne[hdf5]", "nibabel", "nilearn", "numba", "numexpr", "openmeeg (>=2.5.5)", "pandas", "psutil", "pybv", "pyobjc-framework-Cocoa (>=5.2.0)", "python-picard", "pyvista (>=0.32,!=0.35.2,!=0.38.0,!=0.38.1,!=0.38.2,!=0.38.3,!=0.38.4,!=0.38.5,!=0.38.6,!=0.42.0)", "pyvistaqt (>=0.4)", "qdarkstyle", "qtpy", "scikit-learn", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk", "xlrd"]
+dev = ["codespell", "graphviz", "ipython (!=8.7.0)", "memory-profiler", "mne-bids", "mne-connectivity", "mne-gui-addons", "mypy", "neo", "numpydoc", "pre-commit", "pydata-sphinx-theme (==0.15.2)", "pygments (>=2.13)", "pytest", "pytest (>=8.0.0rc2)", "pytest-cov", "pytest-qt", "pytest-timeout", "pyxdf", "pyzmq (!=24.0.0)", "rcssmin", "ruff", "seaborn (!=0.11.2)", "selenium", "sphinx (>=6,<7.3)", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinxcontrib-bibtex (>=2.5)", "sphinxcontrib-towncrier", "sphinxcontrib-youtube", "tomli", "twine", "wheel"]
+doc = ["graphviz", "ipython (!=8.7.0)", "memory-profiler", "mne-bids", "mne-connectivity", "mne-gui-addons", "neo", "numpydoc", "pydata-sphinx-theme (==0.15.2)", "pygments (>=2.13)", "pytest", "pyxdf", "pyzmq (!=24.0.0)", "seaborn (!=0.11.2)", "selenium", "sphinx (>=6,<7.3)", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinxcontrib-bibtex (>=2.5)", "sphinxcontrib-towncrier", "sphinxcontrib-youtube"]
+full = ["darkdetect", "defusedxml", "dipy", "edfio (>=0.2.1)", "eeglabio", "h5io", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "neo", "nibabel", "nilearn", "numba", "openmeeg (>=2.5.5)", "pandas", "psutil", "pyarrow", "pybv", "pymatreader", "pyobjc-framework-cocoa (>=5.2.0)", "pyqt6 (!=6.6.1)", "pyqt6-qt6 (!=6.6.1,!=6.6.2,!=6.6.3)", "python-picard", "pyvista (>=0.32,!=0.35.2,!=0.38.0,!=0.38.1,!=0.38.2,!=0.38.3,!=0.38.4,!=0.38.5,!=0.38.6,!=0.42.0)", "pyvistaqt (>=0.4)", "qdarkstyle (!=3.2.2)", "qtpy", "scikit-learn", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk", "xlrd"]
 hdf5 = ["h5io", "pymatreader"]
-test = ["black", "check-manifest", "codespell", "numpydoc", "pre-commit", "pytest", "pytest-cov", "pytest-harvest", "pytest-qt", "pytest-timeout", "ruff", "tomli", "twine", "wheel"]
-test-extra = ["EDFlib-Python", "eeglabio", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "mne[test]", "nbclient", "nitime", "pybv", "snirf", "sphinx-gallery"]
+test = ["codespell", "mypy", "numpydoc", "pre-commit", "pytest (>=8.0.0rc2)", "pytest-cov", "pytest-qt", "pytest-timeout", "ruff", "tomli", "twine", "wheel"]
+test-extra = ["codespell", "edfio (>=0.2.1)", "eeglabio", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "mne-bids", "mypy", "nbclient", "neo", "nitime", "numpydoc", "pre-commit", "pybv", "pytest (>=8.0.0rc2)", "pytest-cov", "pytest-qt", "pytest-timeout", "ruff", "snirf", "sphinx-gallery", "statsmodels", "tomli", "twine", "wheel"]
 
 [[package]]
 name = "mne-bids"
-version = "0.13"
+version = "0.14"
 description = "MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python"
 optional = false
 python-versions = "~=3.8"
 files = [
-    {file = "mne-bids-0.13.tar.gz", hash = "sha256:5c0217e11d06175c98f26285c61bf28f13d38a39b056ad8e6a7ce2e33c3df766"},
-    {file = "mne_bids-0.13-py2.py3-none-any.whl", hash = "sha256:540374d9f07948679bdef7831b9861b9e4c9ea96f8c33a7c2e2245a6ac80f8ee"},
+    {file = "mne-bids-0.14.tar.gz", hash = "sha256:271e748b0cab44be39711a8d2d86b5e54148f9b862df45a3b5467ec2a69b6a4f"},
+    {file = "mne_bids-0.14-py2.py3-none-any.whl", hash = "sha256:f754cd9a4da1cec5e6cbf986372286e3614076ac0c35d68cf527a331964bbd9e"},
 ]
 
 [package.dependencies]
@@ -1315,7 +1354,18 @@ numpy = ">=1.20.2"
 scipy = ">=1.6.3"
 
 [package.extras]
-full = ["EDFlib-Python (>=1.0.6)", "matplotlib (>=3.4.0)", "nibabel (>=3.2.1)", "pandas (>=1.2.4)", "pybv (>=0.7.5)", "pymatreader (>=0.0.30)"]
+full = ["EDFlib-Python (>=1.0.6)", "eeglabio (>=0.0.2)", "matplotlib (>=3.4.0)", "nibabel (>=3.2.1)", "pandas (>=1.2.4)", "pybv (>=0.7.5)", "pymatreader (>=0.0.30)"]
+
+[[package]]
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 [[package]]
@@ -1451,22 +1509,6 @@ files = [
 setuptools = "*"
 wheel = "*"
 
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-version = "3.2.2"
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-signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
-
 [[package]]
 name = "opt-einsum"
 version = "3.3.0"
@@ -1485,6 +1527,66 @@ numpy = ">=1.7"
 docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"]
 tests = ["pytest", "pytest-cov", "pytest-pep8"]
 
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+numpy = ["numpy"]
+test = ["pytest", "pytest-cov", "pytest-xdist"]
+torch = ["torch"]
+
 [[package]]
 name = "packaging"
 version = "24.0"
@@ -1773,31 +1875,6 @@ files = [
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-optional = true
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-
-[package.dependencies]
-pyasn1 = ">=0.4.6,<0.7.0"
-
 [[package]]
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 version = "0.24.0"
@@ -2151,57 +2228,41 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
-name = "requests-oauthlib"
-version = "2.0.0"
-description = "OAuthlib authentication support for Requests."
+name = "rich"
+version = "13.7.1"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = true
-python-versions = ">=3.4"
+python-versions = ">=3.7.0"
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-requests = ">=2.0.0"
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+pygments = ">=2.13.0,<3.0.0"
 
 [package.extras]
-rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
-
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-description = "Pure-Python RSA implementation"
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+version = "0.13.0"
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+scikit-learn = ">=1.4.2"
 
 [package.extras]
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-tensorflow-cpu = ["tensorflow-cpu (>=2.12.0,<2.13.0)"]
+tensorflow = ["tensorflow (>=2.16.1)"]
+test = ["tensorflow (>=2.16.1)"]
 
 [[package]]
 name = "scikit-learn"
@@ -2675,27 +2736,24 @@ resolved_reference = "d3acc59d34e47a4f36773b3df86f0842089f65cd"
 
 [[package]]
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+version = "2.16.2"
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 tensorboard-data-server = ">=0.7.0,<0.8.0"
 werkzeug = ">=1.0.1"
-wheel = ">=0.26"
 
 [[package]]
 name = "tensorboard-data-server"
@@ -2711,116 +2769,94 @@ files = [
 
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 name = "tensorflow"
-version = "2.13.1"
+version = "2.16.1"
 description = "TensorFlow is an open source machine learning framework for everyone."
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 [package.dependencies]
 absl-py = ">=1.0.0"
 astunparse = ">=1.6.0"
-flatbuffers = ">=23.1.21"
-gast = ">=0.2.1,<=0.4.0"
+flatbuffers = ">=23.5.26"
+gast = ">=0.2.1,<0.5.0 || >0.5.0,<0.5.1 || >0.5.1,<0.5.2 || >0.5.2"
 google-pasta = ">=0.1.1"
 grpcio = ">=1.24.3,<2.0"
-h5py = ">=2.9.0"
-keras = ">=2.13.1,<2.14"
+h5py = ">=3.10.0"
+keras = ">=3.0.0"
 libclang = ">=13.0.0"
-numpy = ">=1.22,<=1.24.3"
+ml-dtypes = ">=0.3.1,<0.4.0"
+numpy = [
+    {version = ">=1.23.5,<2.0.0", markers = "python_version <= \"3.11\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
 opt-einsum = ">=2.3.2"
 packaging = "*"
 protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+requests = ">=2.21.0,<3"
 setuptools = "*"
 six = ">=1.12.0"
-tensorboard = ">=2.13,<2.14"
-tensorflow-estimator = ">=2.13.0,<2.14"
-tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "platform_machine != \"arm64\" or platform_system != \"Darwin\""}
+tensorboard = ">=2.16,<2.17"
+tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "python_version < \"3.12\""}
 termcolor = ">=1.1.0"
-typing-extensions = ">=3.6.6,<4.6.0"
+typing-extensions = ">=3.6.6"
 wrapt = ">=1.11.0"
 
-[[package]]
-name = "tensorflow-estimator"
-version = "2.13.0"
-description = "TensorFlow Estimator."
-optional = true
-python-versions = ">=3.7"
-files = [
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-]
+[package.extras]
+and-cuda = ["nvidia-cublas-cu12 (==12.3.4.1)", "nvidia-cuda-cupti-cu12 (==12.3.101)", "nvidia-cuda-nvcc-cu12 (==12.3.107)", "nvidia-cuda-nvrtc-cu12 (==12.3.107)", "nvidia-cuda-runtime-cu12 (==12.3.101)", "nvidia-cudnn-cu12 (==8.9.7.29)", "nvidia-cufft-cu12 (==11.0.12.1)", "nvidia-curand-cu12 (==10.3.4.107)", "nvidia-cusolver-cu12 (==11.5.4.101)", "nvidia-cusparse-cu12 (==12.2.0.103)", "nvidia-nccl-cu12 (==2.19.3)", "nvidia-nvjitlink-cu12 (==12.3.101)"]
 
 [[package]]
 name = "tensorflow-io-gcs-filesystem"
-version = "0.31.0"
+version = "0.37.0"
 description = "TensorFlow IO"
 optional = true
-python-versions = ">=3.7, <3.12"
-files = [
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:a71421f8d75a093b6aac65b4c8c8d2f768c3ca6215307cf8c16192e62d992bcf"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:359134ecbd3bf938bb0cf65be4526106c30da461b2e2ce05446a229ed35f6832"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b658b33567552f155af2ed848130f787bfda29381fa78cd905d5ee8254364f3c"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp310-cp310-win_amd64.whl", hash = "sha256:961353b38c76471fa296bb7d883322c66b91415e7d47087236a6706db3ab2758"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:8909c4344b0e96aa356230ab460ffafe5900c33c1aaced65fafae71d177a1966"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e417faf8755aafe52d8f8c6b5ae5bae6e4fae8326ee3acd5e9181b83bbfbae87"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37c40e3c4ee1f8dda3b545deea6b8839192c82037d8021db9f589908034ad975"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-win_amd64.whl", hash = "sha256:4bb37d23f21c434687b11059cb7ffd094d52a7813368915ba1b7057e3c16e414"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:a7e8d4bd0a25de7637e562997c011294d7ea595a76f315427a5dd522d56e9d49"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:fbcfb4aa2eaa9a3038d2487e570ff93feb1dbe51c3a4663d7d9ab9f9a9f9a9d8"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e3933059b1c53e062075de2e355ec136b655da5883c3c26736c45dfeb1901945"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:f0adfbcd264262797d429311843733da2d5c1ffb119fbfa6339269b6c0414113"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:20e3ee5df01f2bd81d37fc715816c329b7533ccca967c47946eb458a5b7a7280"},
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-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e6d8cc7b14ade870168b9704ee44f9c55b468b9a00ed40e12d20fffd321193b5"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97ebb9a8001a38f615aa1f90d2e998b7bd6eddae7aafc92897833610b039401b"},
-    {file = "tensorflow_io_gcs_filesystem-0.31.0-cp39-cp39-win_amd64.whl", hash = "sha256:cb7459c15608fe42973a78e4d3ad7ac79cfc7adae1ccb1b1846db3165fbc081a"},
-]
-
-[package.extras]
-tensorflow = ["tensorflow (>=2.11.0,<2.12.0)"]
-tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.11.0,<2.12.0)"]
-tensorflow-cpu = ["tensorflow-cpu (>=2.11.0,<2.12.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.11.0,<2.12.0)"]
-tensorflow-rocm = ["tensorflow-rocm (>=2.11.0,<2.12.0)"]
-
-[[package]]
-name = "tensorflow-metal"
-version = "1.1.0"
-description = "TensorFlow acceleration for Mac GPUs."
-optional = true
-python-versions = "*"
-files = [
-    {file = "tensorflow_metal-1.1.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:443d71b3a567fe3f45f982c4794d357b55dec01a4ff1d6d8ba152a68a2c018ab"},
-    {file = "tensorflow_metal-1.1.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1c365669fc9d764edcc1773254a477db7096975b1bff58fb37a11d7b8ca4295f"},
-    {file = "tensorflow_metal-1.1.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ee2ef41d91fde0740b7649e0c74dc157656f4fe4a2e00bcc03b04532ba47aa12"},
-]
-
-[package.dependencies]
-six = ">=1.15.0"
-wheel = ">=0.35,<1.0"
+python-versions = "<3.12,>=3.7"
+files = [
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:82cc4d8e26fb143fc814ac8ab95fede83363a315f5b62f8ae68312f1aca1cc6e"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:677d6d7c84a94a3b27ea5d16633ea09adadef09c2630480e8e94209558828b02"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e5d1ac4d2010e8cdf259918ba1500c942b51b7ed2e549f55b404c1fb52f695d"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e2901bc4a91158fa0a10d37594c8a5efb1445dd5a041b1b5b90f782a5d1b15e"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:eab6e4c1daf7ddbfef608cd8e2102861021678dfb3f6a7fb3f613db9d6992919"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:4ec3c0d0a9d3676a2e74198e3dff66d74c7c34f974257f2176236d0703b31a0e"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af0f79400656bb88bf326d2b8e63aef49c07a0ce8c14c3e2589a62e765d8c21f"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13bc337f2c2db63a39c81c8fd0ececc0c3d5fcf4ce229dfed0b0085a23dd60e9"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp312-cp312-macosx_10_14_x86_64.whl", hash = "sha256:57e7af9c81e79bf8fb552985dc8972ac90437d34bd4c1c9019a92a07eb12bc98"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:48a8e7aec651bea8db410f6426c6446a56d16a5ab32201a70d8d684c113137b7"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71ccf64a137efcb2be2627225b4e48110cbf34da39b23c5cc688fe803f2510f1"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03d5598b8007551f4e1391bf85a83a1865e3fa0789beef15a200efaa06a23fb5"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:8d3ad5f30b6dbe09baefdb80e9aa7ff3869c772928b865f8ffc8402be7675a43"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:95bb229e968fca943806c6ac04e81dc4966fc4a36ab83efaa061a4ecb3ea5e85"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8385f4fe447812bd8e2e11ef523cf02765319100e5d9e4a9b5a876d4440c900c"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:500ec871a8d59cf78992b7fd4750d86ea3d35e231fb0bea7a7eabcf73abfceeb"},
+]
+
+[package.extras]
+tensorflow = ["tensorflow (>=2.16.0,<2.17.0)"]
+tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.16.0,<2.17.0)"]
+tensorflow-cpu = ["tensorflow-cpu (>=2.16.0,<2.17.0)"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.16.0,<2.17.0)"]
+tensorflow-rocm = ["tensorflow-rocm (>=2.16.0,<2.17.0)"]
 
 [[package]]
 name = "termcolor"
@@ -3118,9 +3154,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 carbonemission = ["codecarbon"]
-deeplearning = ["braindecode", "keras", "libclang", "scikeras", "tensorflow", "torch"]
+deeplearning = ["braindecode", "docstring_inheritance", "keras", "libclang", "scikeras", "tensorflow", "torch"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9, <3.12"
-content-hash = "3b853bab38465b6acc05518f82123846b3081e566b6df774d5a07bcfaebdfdcf"
+python-versions = ">=3.9,<3.13"
+content-hash = "f27cf02f7254d13cf7311a52159cfa8ee37a4b4af81e1d2826ff40e23402a99c"
diff --git a/pyproject.toml b/pyproject.toml
index 0198ef180..38b6dc904 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,13 +12,13 @@ license = "BSD-3-Clause"
 
 
 [tool.poetry.dependencies]
-python = ">=3.9, <3.12"
+python = ">=3.9,<3.13"
 numpy = "^1.22"
 scipy = "^1.9.3"
-mne = "<=1.6.1"
+mne = "^1.7.0"
 pandas = "^1.5.2"
-h5py = "<=3.8.0"
-scikit-learn = "^1.2.0"
+h5py = "^3.10.0"
+scikit-learn = ">=1.4.2"
 matplotlib = "^3.6.2"
 seaborn = "^0.12.1"
 pyriemann = "^0.6"
@@ -30,24 +30,26 @@ tqdm = "^4.64.1"
 coverage = "^7.0.1"
 memory-profiler = "^0.61.0"
 edflib-python = "^1.0.6"
+edfio = "^0.4.2"
 pytest = "^7.4.0"
-mne-bids = "^0.13"
+mne-bids = "^0.14"
 
 # Optional dependencies for carbon emission
 codecarbon = { version = "^2.1.4", optional = true }
 
 # Optional dependencies for deep learning
-tensorflow = { version = ">=2.13,<=2.14", optional = true }
-keras = { version = ">=1.11.0", optional = true }
-scikeras =  { version = "^0.12.0", optional = true }
+tensorflow = { version = ">=2.16", optional = true }
+keras = { version = ">=3.2.0", optional = true }
+scikeras =  { version = "^0.13.0", optional = true }
 braindecode = {version = "^0.8", optional = true}
 torch = { version = "^1.13.1", optional = true }
 libclang = { version = "^15.0", optional = true }
+docstring_inheritance = { version = "^2.2.0", optional = true}
 
 
 [tool.poetry.extras]
 carbonemission = ["codecarbon"]
-deeplearning = ["tensorflow", "keras", "scikeras", "braindecode", "torch", "libclang"]
+deeplearning = ["tensorflow", "keras", "scikeras", "braindecode", "docstring_inheritance", "torch", "libclang"]
 
 
 [tool.poetry.group.docs]