Welcome to BrainGenix-EVM, our Evaluation Metrics service designed specifically for the WBE (Whole Brain Emulation) challenge. Our platform provides tools that empower researchers and scientists in assessing the accuracy of reconstructed neuronal systems by comparing them against their original ground truth counterparts.
- Edit Distance: Quantifies the similarity between two neural network topologies by calculating the minimum number of operations (insertions, deletions, or substitutions) needed to transform one into the other. This metric is crucial in identifying potential discrepancies in synaptic connections and neuron placements within reconstructed systems.
- Topological Similarity: Measures how closely the structural organization of reconstructed networks mirrors the ground truth, ensuring that the emulated brain's architecture remains faithful to its ground-truth starting-point.
- Synaptic Matching: Evaluates the precision of synapse placement and connectivity, which is vital for capturing the intricate neural pathways that underlie brain function.
- Neuron Type Distribution: Analyzes whether the reconstructed system accurately reflects the diversity and distribution of neuron types present in the original virtual tissue.
- Activity Correlation: Assesses how well the firing patterns of neurons in the emulated system correlate with those of the ground truth, providing insights into the functional fidelity of the emulation.
- Dynamic Complexity: Examines whether the reconstructed system exhibits similar complex dynamics as the original when exposed to various stimuli or during different brain states.
- Behavioral Prediction: Validates the system's ability to replicate or predict behaviors associated with specific neural activities or patterns.