Computational Cognitive Neuroscience textbook
Axon is a spiking, biologically-based neural model driven by predictive error-driven learning, for systems-level models of the brain
Model from Tsuda B, Tye KM, Siegelmann HT, Sejnowski TJ. A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex. Proceedings of the National Academy of Sciences, 117 (47), 29872-29882, 2020. https://doi.org/10.1073/pnas.2009591117
A complete introduction to Computational Cognitive Neuroscience, where computer models of the brain are used to understand a wide range of cognitive functions, including perception, attention, learning, memory, motor control, executive function, and language
Scripts for reproducing the figures of Hippocampal-Prefrontal Interactions during Spatial Decision-Making, Tavares & Tort 2020.
The analysis pipeline for our paper 'Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex'.
Initial exploratory code into coherence at track points of interest.
Giving ChatGPT some social inhibitions
Scripts for reproducing the figures of Hippocampal-Prefrontal Interactions during Spatial Decision-Making, Tavares & Tort 2020.
Simulates prefrontal cortex functions through specialized AI agents. By implementing a brain-inspired architecture, it assists in complex decision-making tasks across various domains including medical diagnosis, risk assessment, and strategic planning.
Add a description, image, and links to the prefrontal-cortex topic page so that developers can more easily learn about it.
To associate your repository with the prefrontal-cortex topic, visit your repo's landing page and select "manage topics."
