How the Reach of Inhibitory Synapses Steers Brain Networks Toward Criticality
A new computational study shows that the spatial reach of inhibitory synapses, through signal delays that weaken long-range connections, determines ...
Tag: computational neuroscience
A New Scaling Law Tracks How the Aging Brain Rewires Its Rhythms
Researchers generalized Taylor's law from ecology to neural data and found that a single scaling exponent tracks how synchronized brain ...
Childhood Trauma Leaves a Lasting Imprint on the Brain’s Excitation-Inhibition Balance
Young adults with histories of childhood interpersonal trauma show measurable shifts toward cortical excitation and attenuated inhibition, detectable with EEG ...
Awake Alpha Bursts Reveal the Thalamus’s Hidden Working State
A biophysically constrained computational model of a lateral geniculate thalamocortical neuron reveals five distinct firing regimes and shows that the ...
New Granger Framework Maps How Neurons Turn Sound Into Behavior
A new computational framework unifies the analysis of sensory encoding, functional connectivity, and behavioral readout in two-photon calcium imaging data, ...
Brain-Like Dendritic AI Tames Chaos and Spots Seizures in Newborns
A new dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...
One Spiking Neural Network Learns What Happens, When, and How Likely
Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, and ...
Neural Networks Spontaneously Split Into Context and Sensory Specialists
A new study shows that artificial neural networks with two parallel pathways joined by a cross-product fusion spontaneously develop specialized ...
Neural network platform targets synaptic roots of autism and related disorders
SUNY researchers have developed a patent-pending platform combining a specialized neural network and dedicated hardware to model glutamatergic synaptic dysfunction ...
AI Networks That Learned to Keep the Beat Mirror Human Rhythm Synchronization
Recurrent neural networks trained only with a synchronization reward reproduce hallmark features of human beat tapping, including negative mean asynchrony ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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