neuro4ml / exercises
Exercises for "Neuroscience for machine learners" course
☆50Updated 9 months ago
Related projects: ⓘ
- Neuroscience for machine learners course☆76Updated 8 months ago
- Papers and other material for getting started with Neuro-AI!☆41Updated last year
- ☆64Updated 3 weeks ago
- Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.☆71Updated last year
- A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.☆176Updated last month
- The standardised environment for the hippocampus and entorhinal cortex models☆63Updated 2 weeks ago
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆135Updated 2 months ago
- Topographic Deep Artificial Neural Networks☆45Updated 4 months ago
- Training spiking neural networks for sound localization☆60Updated this week
- Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models …☆17Updated 3 years ago
- A reservoir computing toolbox for neuroscientists☆78Updated last month
- A curated repository of Neuro-AI papers.☆35Updated 2 years ago
- ☆26Updated 6 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆36Updated 2 months ago
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆76Updated 8 months ago
- ☆22Updated this week
- Cosyne workshop tutorial 2022☆104Updated 2 years ago
- Examples of BrainPy☆21Updated 6 months ago
- STATS320: Statistical Methods for Neural Data Analysis☆190Updated last year
- Python tools for participating in Neural Latents Benchmark '21☆55Updated 2 months ago
- Contains programming labs and lecture notes for the lecture "Neural Data Science"☆97Updated 3 years ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Some methods for comparing network representations in deep learning and neuroscience.☆123Updated last month
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆41Updated 6 months ago
- Code for the paper "A high-performance speech neuroprosthesis"☆128Updated 2 months ago
- Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities☆42Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆73Updated last month
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆40Updated 2 years ago
- A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)☆119Updated this week
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆33Updated 3 months ago