This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

We introduce efficient Network Reciprocity Control (NRC) algorithms for steering the degree of asymmetry and reciprocity in binary and weighted networks while p

Artificial intelligence is rapidly advancing our mechanistic understanding of the shared structure between the brain and higher-order behaviours. In this Review, Mathis and Mathis synthesize state-of-...

An analysis of cell-type diversity in brain samples from a variety of mammalian species, both during development and in adult animals, reveals that the TAC3 initial class of striatal interneurons is c...

Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/

Spiking Neural networks as Universal Function Approximators

A package love letter to Melbourne. Contribute to dionnecargy/melbourne development by creating an account on GitHub.

Neural networks now generate text, images, and speech with billions of parameters, producing a need to know how each neural unit contributes to these high-dimensional outputs. Existing explainable-AI ...

Neuroscience; Systems neuroscience; Social sciences

Self-attention is essential to Transformer architectures, yet how information is embedded in the self-attention matrices and how different objective functions impact this process remains unclear. We p...

This paper discusses how experimental and computational studies integrating multimodal data, such as RNA expression, connectivity and neural activity, are advancing our understanding of the architectu...

npj Unconventional Computing - A neuromorphic multi-scale approach for real-time heart rate and state detection

The networked architecture of the brain promotes synchrony among neuronal populations and the emergence of coherent dynamics. These communication patterns can be comprehensively mapped using noninvasi...

An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons an...

Author summary Evolution has shaped neural circuits in the brain to support complex tasks and behavior. In doing so, single neurons have developed intriguing coding properties such as heterogeneous an...

Sequential information permeates daily activities, such as when watching for the correct series of buildings to determine when to get off the bus or train. These sequences include periodicity (the spa...