Seemingly disparate working memory biases, including short-term serial and contraction biases, may arise from a common mechanism via the interaction of multiple networks, each operating over a distinct timescale.
Juan Luis Riquelme, Mike Hemberger ... Julijana Gjorgjieva
Single-neuron spikes in a network model of the turtle cortex trigger reliable, yet flexible sequences of activity through a sparse backbone of strong synaptic connections.
Meichao Zhang, Boris C Bernhardt ... Elizabeth Jefferies
Functional neuroimaging in the human brain reveals the neurocognitive mechanisms that underpin the experience of mind-wandering during reading, explaining why comprehension is impaired.
Electrophysiological recordings and a large-scale biophysical model show that a unique inhibitory neuron plays a central role in structuring olfactory codes in the insect brain.
Simulations of a detailed network model show that the pattern of synaptic interactions resulting from learning is critical for the emergence of population bursts, sequential neuronal activity, and fast oscillations in the hippocampus.
Javier Zorrilla de San Martin, Cristina Donato ... Alberto Bacci
Distinct intrinsic excitability and synaptic dysfunctions in specific cortical inhibitory circuits lead to abnormal network activity in a mouse model of Down syndrome.
An accurate and efficient biologically plausible statistical model of the spiking activity of neural populations shows computational benefits of homeostatic synaptic scaling in learning large neural population codes.
The composition of nodes that effectively transmit sinusoidal waves in a model network resembling C. elegans' electrical synapses network changes according to the waves' wavenumber.
Victoria JH Ritvo, Alex Nguyen ... Kenneth A Norman
A computational neural network model leverages a simple unsupervised learning principle to account for recent findings on when memories move apart (differentiate) or together (integrate) in the brain.
