Hebbian Learning Shows How Brains Could Spend Their Synaptic Budget Wisely
A new computational study shows that a constrained Hebbian learning rule achieves lower representational cost than backpropagation and target propagation ...
Tag: Computational neuroscience
Borrowing From Quantum Math, a New Framework Describes the Brain’s Evolving States
A new computational neuroscience study proposes representing evolving brain dynamics with wave-function formalism, showing that EEG signals change in coordinated ...
Hidden Symmetry Found in the Brain’s Messy Head-Direction Circuits
A new Nature Neuroscience study shows that seemingly disordered mammalian head-direction circuits conceal the hidden circular symmetry of continuous attractor ...
How the Brain’s Internal Compass Holds Its Course: Ring Attractor Networks Go Full Circle
A new theoretical study shows that heterogeneous, biologically realistic neural circuits implement head-direction selectivity through the same continuous attractor dynamics ...
Hidden Motion Maps Reveal a Secret Code in the Brain’s Visual Cortex
A computational study of cat primary visual cortex shows that motion direction and temporal frequency are encoded in subtle, spatially ...
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 ...
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 ...
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 ...
A. J. Major et al. Respond to Scientific Debate
In a groundbreaking exchange that promises to reshape current understandings of neural circuit dynamics, A.J. Major and colleagues offer a ...
Mapping Mouse Brain Through Dendritic Microenvironments
In a groundbreaking advance poised to reshape the landscape of neuroscience, researchers have unveiled a pioneering mouse brain atlas constructed ...
Validating EEG Data Method to Estimate Brain Balance
In a groundbreaking development at the intersection of neuroscience and computational modeling, researchers have unveiled a new method for accurately ...
Boosting Frontostriatal Health to Combat OCD
In recent years, the intricate workings of the human brain have been a focal point for understanding complex neuropsychiatric disorders. ...
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