In neurons, the mapping from inputs to output involves complex biophysical processes. Despite this complexity, it is now shown that simple artificial models explain a large fraction of the variability...

In the human brain, the allowed patterns of activity are constrained by the correlations between brain regions. Yet it remains unclear which correl...

As experiments advance to record from tens of thousands of neurons, statistical physics provides a framework for understanding how collective activ...

New work shows that physical folding of the genome to control genes located far away may have been an early evolutionary development.

Using a new analytical method for tracking gamma band events in mouse visual cortex, flexible encoding of visual information according to behavioural context is shown.

Welcome! You are invited to join a meeting: Teaching and Learning Biological Physics. After registering, you will receive a confirmation email about joining the meeting.

We are seeking nominations for 'Invited Symposium' to enhance the DBIO program for the upcoming Global Physics Summit. An invited symposium consists of five 36-minute invited talks related to a topic ...

This review traces how ideas from statistical physics evolved into foundational models of neural computation, shaping modern AI and culminating in the 2024 Nobel Prize in Physics.

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

In many far-from-equilibrium biological systems, energy injected by irreversible processes at microscopic scales propagates to larger scales to fulfill important biological functions. But given dissip...

Podcast Episode · Simplifying Complexity · 05/12/2025 · 31m

Podcast Episode · Simplifying Complexity · 04/28/2025 · 35m