Browsing by Subject "Models, Neurological"
Now showing items 1-20 of 48
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A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal Tracer Data.
(Cereb Cortex, 2015-11)Interest in structural brain connectivity has grown with the understanding that abnormal neural connections may play a role in neurologic and psychiatric diseases. Small animal connectivity mapping techniques are particularly ... -
A framework for integrating the songbird brain.
(J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 2002-12)Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird ... -
A Refined Neuronal Population Measure of Visual Attention.
(PloS one, 2015-01)Neurophysiological studies of cognitive mechanisms such as visual attention typically ignore trial-by-trial variability and instead report mean differences averaged across many trials. Advances in electrophysiology allow ... -
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks.
(PLoS Comput Biol, 2015-08)Understanding the theoretical foundations of how memories are encoded and retrieved in neural populations is a central challenge in neuroscience. A popular theoretical scenario for modeling memory function is the attractor ... -
Acetylcholine Modulates Cerebellar Granule Cell Spiking by Regulating the Balance of Synaptic Excitation and Inhibition.
(The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020-04)Sensorimotor integration in the cerebellum is essential for refining motor output, and the first stage of this processing occurs in the granule cell layer. Recent evidence suggests that granule cell layer synaptic integration ... -
Bistability and up/down state alternations in inhibition-dominated randomly connected networks of LIF neurons.
(Scientific reports, 2017-09-20)Electrophysiological recordings in cortex in vivo have revealed a rich variety of dynamical regimes ranging from irregular asynchronous states to a diversity of synchronized states, depending on species, anesthesia, and ... -
Burst-Dependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors.
(Cell reports, 2016-04)Numerous studies have shown that cerebellar function is related to the plasticity at the synapses between parallel fibers and Purkinje cells. How specific input patterns determine plasticity outcomes, as well as the biophysics ... -
Chaos in percepts?
(Biol Cybern, 1994)Multistability in perceptual tasks has suggested that the mechanisms underlying our percepts might be modeled as nonlinear, deterministic systems that exhibit chaotic behavior. We present evidence supporting this view, obtaining ... -
Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning.
(Proceedings of the National Academy of Sciences of the United States of America, 2020-11-11)Sequential activity has been observed in multiple neuronal circuits across species, neural structures, and behaviors. It has been hypothesized that sequences could arise from learning processes. However, it is still unclear ... -
Coherence potentials: loss-less, all-or-none network events in the cortex.
(PLoS Biol, 2010-01-12)Transient associations among neurons are thought to underlie memory and behavior. However, little is known about how such associations occur or how they can be identified. Here we recorded ongoing local field potential (LFP) ... -
Computational inference of neural information flow networks.
(PLoS Comput Biol, 2006-11-24)Determining how information flows along anatomical brain pathways is a fundamental requirement for understanding how animals perceive their environments, learn, and behave. Attempts to reveal such neural information flow ... -
Cortical dynamics during naturalistic sensory stimulations: experiments and models.
(Journal of physiology, Paris, 2011-01)We report the results of our experimental and theoretical investigations of the neural response dynamics in primary visual cortex (V1) during naturalistic visual stimulation. We recorded Local Field Potentials (LFPs) and ... -
Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.
(PloS one, 2017-01)<h4>Background</h4>Deep brain stimulation (DBS) is an established clinical therapy and computational models have played an important role in advancing the technology. Patient-specific DBS models are now common tools in both ... -
Cross-modal stimulus conflict: the behavioral effects of stimulus input timing in a visual-auditory Stroop task.
(PLoS One, 2013)Cross-modal processing depends strongly on the compatibility between different sensory inputs, the relative timing of their arrival to brain processing components, and on how attention is allocated. In this behavioral study, ... -
Design and in vivo evaluation of more efficient and selective deep brain stimulation electrodes.
(Journal of neural engineering, 2015-08)<h4>Objective</h4>Deep brain stimulation (DBS) is an effective treatment for movement disorders and a promising therapy for treating epilepsy and psychiatric disorders. Despite its clinical success, the efficiency and selectivity ... -
Differential developmental trajectories of magnetic susceptibility in human brain gray and white matter over the lifespan.
(Human Brain Mapping, 2014-06)As indicated by several recent studies, magnetic susceptibility of the brain is influenced mainly by myelin in the white matter and by iron deposits in the deep nuclei. Myelination and iron deposition in the brain evolve ... -
Disconnected aging: cerebral white matter integrity and age-related differences in cognition.
(Neuroscience, 2014-09)Cognition arises as a result of coordinated processing among distributed brain regions and disruptions to communication within these neural networks can result in cognitive dysfunction. Cortical disconnection may thus contribute ... -
Dynamics of visual receptive fields in the macaque frontal eye field.
(J Neurophysiol, 2015-12)Neuronal receptive fields (RFs) provide the foundation for understanding systems-level sensory processing. In early visual areas, investigators have mapped RFs in detail using stochastic stimuli and sophisticated analytical ... -
Effects of frequency-dependent membrane capacitance on neural excitability.
(Journal of neural engineering, 2015-10)<h4>Objective</h4>Models of excitable cells consider the membrane specific capacitance as a ubiquitous and constant parameter. However, experimental measurements show that the membrane capacitance declines with increasing ... -
Efficient coding of spatial information in the primate retina.
(The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012-11)Sensory neurons have been hypothesized to efficiently encode signals from the natural environment subject to resource constraints. The predictions of this efficient coding hypothesis regarding the spatial filtering properties ...
