Search Results: ComputationalNeuroscience

Despite artificial neural networks achieving human-level feats in reasoning and creativity, neuroscientists argue that fundamental gaps in understanding the brain persist. This article explores the unanswered questions—from synaptic plasticity to cortical architecture—that challenge the notion that AI has 'solved' intelligence, urging a deeper dive into biological computation.

The BrainCraft Challenge pushes computational neuroscience forward by tasking researchers with creating biologically inspired neural networks that solve continuous embodied tasks. With strict constraints of 1,000 neurons and 100-second training windows, participants must design efficient models that navigate maze environments while balancing energy constraints. Early leaderboard results reveal both promise and limitations in current approaches to synthetic neural systems.

Groundbreaking research maps how genes linked to autism, schizophrenia, and cortical malformations become active during critical early phases of human brain development using stem cell models and computational analysis. The study reveals disorder-specific 'critical phases' in neural stem cell development and predicts the impact of gene disruptions, opening new paths for targeted interventions.