P Christiaan Klink, Xing Chen ... Pieter R Roelfsema
Within-species comparison of population receptive fields determined with fMRI and electrophysiology in nonhuman primates reveals the neuronal basis of blood-oxygen-level-dependent-based retinotopy.
Oliver Rübel, Andrew Tritt ... Kristofer E Bouchard
The NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data, and the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.
Multiple non-redundant features of non-rapid eye movement sleep are altered in schizophrenia and largely independent of waking electrophysiological abnormalities, supporting the promise of neuropsychiatric disease biomarkers based on a precise dissection of the sleep.
Saskia EJ de Vries, Joshua H Siegle, Christof Koch
A growing community demand for open neurophysiology data calls for new standards and tools to help scientists share data from their experiments, find relevant datasets that others have collected, and track data reuse across the literature.
Daniela Saderi, Zachary P Schwartz ... Stephen V David
Data collected from two important auditory brain areas distinguish effects of generalized arousal and specific task engagement on neural sensory coding.
Michael Berger, Naubahar Shahryar Agha, Alexander Gail
The novel Reach Cage allows neurophysiology studies of structured behavior with unrestrained Rhesus macaques showing that the frontoparietal reach network is selective for reach goals outside the immediately reachable space.
Physiological analysis reveals that during voluntary contraction Ia afferent input have a lesser facilitatory effect on motor neurons in humans with chronic incomplete spinal cord injury compared with control subjects.
Daniel J Millman, Gabriel Koch Ocker ... Saskia EJ de Vries
Measurements of visual response to motion of different contrasts along with network modeling reveals a microcircuit in superficial layers of cortex that regulates the gain regime.
Jordan Guerguiev, Timothy P Lillicrap, Blake A Richards
A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.