To reverse engineer an entire nervous system

G Haspel, ES Boyden, J Brown, G Church… - arxiv preprint arxiv …, 2023 - pure.mpg.de
There are many theories of how behavior may be controlled by neurons. Testing and
refining these theories would be greatly facilitated if we could correctly simulate an entire …

Ensemble dynamics and information flow deduction from whole-brain imaging data

Y Toyoshima, H Sato, D Nagata… - PLoS Computational …, 2024 - journals.plos.org
The recent advancements in large-scale activity imaging of neuronal ensembles offer
valuable opportunities to comprehend the process involved in generating brain activity …

The exploration-exploitation paradigm: a biophysical approach

V Dichio - arxiv preprint arxiv:2312.14850, 2023 - arxiv.org
This PhD thesis is essentially the story of a scientific idea, from what it has blossomed, how it
has grown, what it might become. My ambition in writing has been to produce an original …

Scaling Properties for Artificial Neural Network Models of a Small Nervous System

Q Simeon, L Venâncio, MA Skuhersky… - SoutheastCon …, 2024 - ieeexplore.ieee.org
The nematode worm C. elegans provides a unique opportunity for exploring in silico data-
driven models of a whole nervous system, given its transparency and well-characterized …

Connectivity underlying motor cortex activity during naturalistic goal-directed behavior

A Finkelstein, K Daie, M Rozsa, R Darshan, K Svoboda - bioRxiv, 2023 - biorxiv.org
Neural representations of information are shaped by local network interactions. Previous
studies linking neural coding and cortical connectivity focused on stimulus selectivity in the …

[CITATION][C] Dialog between artificial intelligence & natural intelligence

MQ Zhang - Quantitative Biology, 2023 - Wiley Online Library
Recently, Quantitative Biology (QB) held a discussion on “AI (artificial intelligence) for Life
Science” among editorial board members and interested scholars in anticipation of rapid …