Neuroscience & AI Reading Course

Notes for the Neuroscience & AI Reading Course (SEM-I 2020-21) at BITS Pilani Goa Campus

The notes are available here

NLP & Syntax

1. [LSTMs & BERT](./Manav_2017B4AA1016G/NLP - LSTMs and BERT.md)

Syntactic Structures in Language models

1. Assessing BERT's syntactic abilities - Goldberg
2. What does BERT learn about the structure of the language - Sagot
3. Transferring pre trained Language Models

Semantics of Mental Lexicon Development

1. Lexical Semantic Change

NCC-MARL

1. NCC-MARL

Brain Embeddings

1. Brain Data Embeddings
2. Comparing Word Embeddings for Predicting Neural Activity

Imagined Speech Classification

1. Envisioned speech recognition using EEG sensors
2. Toward EEG Sensing of Imagined Speech
3. [EEG Sensing of Imagined Speech](./Mahak_2018A7PS0232G/EEG Sensing Of Imagined Speech.md)

Inductive biases in Deep Reinforcement Learning

1. [On inductive biases in Deep Reinforcement Learning](./Rishabh_2018AAPS0348G/Deep RL with relational inductive biases/Deep RL with relational inductive biases.md)
2. [Deep Reinforcement Learning with Relational Inductive biases](./Rishabh_2018AAPS0348G/On inductive biases in Deep RL/On inductive biases in Deep RL.md)
3. [Relational Inductive biases for physical construction in humans and machines](./Rishabh_2018AAPS0348G/Putting bandits into context - How functional learning supports decision making/Putting Bandits into context How functional learning supports decision making.md)
4. [Putting bandits into context - How functional learning supports decision making](./Rishabh_2018AAPS0348G/Relational inductive bias for physical construction in humans and machines/Relational inductive bias for physical construction in humans and machines.md)

social intrinsic motivation and self play MARL

1. [AlphaStar II multi agent Reinforcement Learning](./ARYAN_f20190094/AlphaStar II multi agent Reinforcemnt Learning 84fd67640f5d431788118fa794a394ff.md)
2. [Hide and Seek](./ARYAN_f20190094/HIDE AND SEEK 10067df7e23b4b2e8fba1663f0c5b91e.md)
3. [Intrinsic Social Motivation](./ARYAN_f20190094/Intrinsic social motivation 2bf0fc2ab0804eb3a51408d8eb12403c.md)

Grounded Language Learning

1. [Visually Grounded Neural Syntax Acquisition](./Kartik_2017A7PS0051G/Visually Grounded Neural Syntax Acquisition Notes.md)
2. GLL_Notes

Deep Cognitive Models of Language Acquisition

1. Multi SimLex: A large scale evaluation of multilingual and cross lingual lexical semantic similarity
2. Neural Language Models for the Multilingual, Transcultural, and Multimodal Semantic Web

Inductive Bias in Meta-Reinforcement Learning

1. MAML
2. MAML as Hierarchical Bayes
3. On inductive biases in DRL

Modeling Selective-Attention with Neural Networks

1. Introduction to Selective Attention and Cognitive Neuroscience

Neural Correlates of Discourse and Analyzing Aphasia

1. [AphasiaBank: Methods for Studying Discourse](./Gargi_2017A8PS0408G/AphasiaBank Methods for Studying Discourse.md)
2. [Unsupervised corpus-wide claim detection](./Gargi_2017A8PS0408G/Unsupervised corpus-wide claim detection.md)