Roman Borisyuk

University of Exeter

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Yakov Kazanovich

Institute of Mathematical Problems of Biology

Galina Borisyuk

University of Plymouth

Robert Merrison‐Hort

University of Plymouth

Alan Roberts

University of Bristol

Stephen R. Soffe

University of Bristol

Andrea Ferrario

École Polytechnique Fédérale de Lausanne

Wenchang Li

The First Affiliated Hospital, Sun Yat-sen University

Frank C. Hoppensteadt

Arizona State University

David Chik

Applied Science and Technology Research Institute

Nada Yousif

King Saud bin Abdulaziz University for Health Sciences

Cooperative Institutions

Korea Advanced Institute of Science and Technology

Centre National de la Recherche Scientifique

École Polytechnique Fédérale de Lausanne

University College London

Russian Academy of Sciences

University of California, San Diego

Inserm

University of Plymouth

University of Melbourne

Allen Institute for Brain Science

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Types of spike discharge and character of correlation between neurons in the rat neostriatum

Neurophysiology (1982)

O. V. Godukhin Galina Borisyuk Roman Borisyuk A. B. Kirillov Elena I. Kovalenko

Positive correlation

10.1007/bf01060189

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Citations (1)

Bifurcations in phase oscillator networks with a central element

Physica D Nonlinear Phenomena (2012)

Oleksandr Burylko Yakov Kazanovich Roman Borisyuk

Heteroclinic bifurcation

Limit cycle

10.1016/j.physd.2012.02.020

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Citations (15)

A model of theta rhythm production in the septal-hippocampal system and its modulation by ascending brain stem pathways

Hippocampus (2000)

M.J. Denham Roman Borisyuk

Recent experimental observations have disclosed the existence of a septal-hippocampal feedback circuit, composed of medial septum diagonal band of Broca (ms-dbB) GABAergic projections to the inhibitory interneurons of the hippocampus, and hippocampal GABAergic projections to the ms-dbB, the major targets of which are the GABAergic septo-hippocampal projection cells. We propose that this feedback circuit provides the mechanism for the rhythmic suppression of interneuronal activity in the hippocampus, which is observed as low-level GABAergic-mediated theta activity. We also propose that this circuit may be the mechanism by which ascending brain stem pathways to the ms-dbB, in particular from the reticular formation, can influence hippocampal information processing in response to particular behavioral states, by exercising control over the level and frequency of theta activity in the hippocampus. In support of these proposals, we describe a minimal computational model of the feedback circuit which uses a set of four coupled differential equations describing the average dynamic activity of the populations of excitatory and inhibitory cells involved in the circuit. We demonstrate through simulations the inherently robust 4–6-Hz oscillatory dynamics of the circuit, and show that manipulation of internal connection strengths and external modulatory influences on this circuit changes the dynamics in a way which closely mimics corresponding manipulations in recent neurophysiological experiments investigating theta activity. Hippocampus 2000;10:698–716. © 2000 Wiley-Liss, Inc.

Neurophysiology

Premovement neuronal activity

10.1002/1098-1063(2000)10:6<698::aid-hipo1008>3.0.co;2-z

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Citations (59)

In-phase and antiphase self-oscillations in a model of two electrically coupled pacemakers

Biological Cybernetics (1994)

Gennady Cymbalyuk Evgeni V. Nikolaev Roman Borisyuk

Oscillation (cell signaling)

10.1007/bf00197318

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Citations (35)

Computational Models of Predictive and Memory-Related Functions of the Hippocampus

Reviews in the Neurosciences (1999)

Roman Borisyuk M.J. Denham Susan L. Denham Frank C. Hoppensteadt

We discuss the role of the hippocampus in information processing in the brain and hypothesise that the hippocampus monitors the stability of sensory cues it receives from the external world, using the current context to predict the next sensory event in the episodic sequence by learning from experience, and memorising these sequences of sensory events. Two computational models are presented here. The predictive theory and model are closely related to experimental evidence and use dynamic synapses with an asymmetric learning rule to develop predictive neural activity of a leaky integrate-and-fire model of a pyramidal CA3 cell. The oscillatory model of the hippocampus for memorising sequences of sensory events is developed as a chain of interacting neural oscillators forced by oscillatory inputs from the entorhinal cortex and from the medial septum.

Entorhinal cortex

Computational model

10.1515/revneuro.1999.10.3-4.213

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Citations (13)

A neural model of selective attention and object segmentation in the visual scene: An approach based on partial synchronization and star-like architecture of connections

Neural Networks (2009)

Roman Borisyuk Yakov Kazanovich David Chik Vadim Tikhanoff Angelo Cangelosi

10.1016/j.neunet.2009.06.047

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Citations (25)

iRaster: A novel information visualization tool to explore spatiotemporal patterns in multiple spike trains

Journal of Neuroscience Methods (2010)

Jared Somerville Liz Stuart Evelyne Sernagor Roman Borisyuk

Spike train

Spike sorting

Plot (graphics)

Representation

10.1016/j.jneumeth.2010.09.009

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Citations (4)

International Symposium: Theory and Neuroinformatics in Research Related to Deep Brain Stimulation

Expert Review of Medical Devices (2007)

Roman Borisyuk Nada Yousif

Deep brain stimulation (DBS) is the standard therapy for medically intractable movement disorders, such as Parkinson’s disease (PD), and, in addition, this therapy can be used to treat epilepsy, ch...

Neuroinformatics

Brain stimulation

Movement Disorders

10.1586/17434440.4.5.587

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Citations (2)

Bifurcation analysis of anti-phase oscillations and synchrony in the tadpole central pattern generator

BMC Neuroscience (2014)

Roman Borisyuk Robert Merrison‐Hort

Figure 1 Phase portraits of the system during anti-phase (green) and in-phase (blue) activity.Horizontal and vertical axes correspond to membrane potentials of dINs at similar positions on the left and right body side respectively.

Tadpole (physics)

Interneuron

Hindbrain

Reciprocal inhibition

Reversal potential

10.1186/1471-2202-15-s1-p94

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Citations (0)

An oscillatory neural network model of sparse distributed memory and novelty detection

Biosystems (2000)

Roman Borisyuk Mike Denham Frank C. Hoppensteadt Yakov Kazanovich O. S. Vinogradova

Novelty Detection

10.1016/s0303-2647(00)00131-3

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Citations (30)