Linear-nonlinear-time-warp-poisson models of neural activity.

Abstract:

:Prominent models of spike trains assume only one source of variability - stochastic (Poisson) spiking - when stimuli and behavior are fixed. However, spike trains may also reflect variability due to internal processes such as planning. For example, we can plan a movement at one point in time and execute it at some arbitrary later time. Neurons involved in planning may thus share an underlying time course that is not precisely locked to the actual movement. Here we combine the standard Linear-Nonlinear-Poisson (LNP) model with Dynamic Time Warping (DTW) to account for shared temporal variability. When applied to recordings from macaque premotor cortex, we find that time warping considerably improves predictions of neural activity. We suggest that such temporal variability is a widespread phenomenon in the brain which should be modeled.

journal_name

J Comput Neurosci

authors

Lawlor PN,Perich MG,Miller LE,Kording KP

doi

10.1007/s10827-018-0696-6

subject

Has Abstract

pub_date

2018-12-01 00:00:00

pages

173-191

issue

3

eissn

0929-5313

issn

1573-6873

pii

10.1007/s10827-018-0696-6

journal_volume

45

pub_type

杂志文章
  • A mathematical model of the cerebellar-olivary system II: motor adaptation through systematic disruption of climbing fiber equilibrium.

    abstract::The implications for motor learning of the model developed in the previous article are analyzed using idealized Pavlovian eyelid conditioning trials, a simple example of cerebellar motor learning. Results suggest that changes in gr-->Pkj synapses produced by a training trial disrupt equilibrium and lead to subsequent ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008830427738

    authors: Kenyon GT,Medina JF,Mauk MD

    更新日期:1998-03-01 00:00:00

  • Motor pattern selection by combinatorial code of interneuronal pathways.

    abstract::We use a modeling approach to examine ideas derived from physiological network analyses, pertaining to the switch of a motor control network between two opposite control modes. We studied the femur-tibia joint control system of the insect leg, and its switch between resistance reflex in posture control and "active rea...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0093-7

    authors: Stein W,Straub O,Ausborn J,Mader W,Wolf H

    更新日期:2008-12-01 00:00:00

  • Evolution and analysis of model CPGs for walking: I. Dynamical modules.

    abstract::Can one develop an abstract description of the dynamics of pattern generators that provides quantitative insight into their operation? We explored this question by examining the dynamics of a model central pattern generator that was created using an evolutionary algorithm. We propose an abstract description based on t...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008923704408

    authors: Chiel HJ,Beer RD,Gallagher JC

    更新日期:1999-09-01 00:00:00

  • Effects of conduction delays on the existence and stability of one to one phase locking between two pulse-coupled oscillators.

    abstract::Gamma oscillations can synchronize with near zero phase lag over multiple cortical regions and between hemispheres, and between two distal sites in hippocampal slices. How synchronization can take place over long distances in a stable manner is considered an open question. The phase resetting curve (PRC) keeps track o...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0315-2

    authors: Woodman MM,Canavier CC

    更新日期:2011-10-01 00:00:00

  • Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex.

    abstract::Information maximization has long been suggested as the underlying coding strategy of the primary visual cortex (V1). Grouping image sequences into blocks has been shown by others to improve agreement between experiments and theory. We have studied the effect of temporal convolution on the formation of spatiotemporal ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1013723131070

    authors: Szatmáry B,Lorincz A

    更新日期:2001-11-01 00:00:00

  • Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

    abstract::Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f-I curve. We introduce a novel classification of neurons into Types A, B-, and B+ according to how f-I curves are modulated by input fluctuations. In Type A neurons, the f-I curves display little sensitivity to in...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0142-x

    authors: Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall AL

    更新日期:2009-10-01 00:00:00

  • Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

    abstract::Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been investigated both experimentally and theoretically. However, whether...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00710-y

    authors: Bel A,Rotstein HG

    更新日期:2019-04-01 00:00:00

  • System identification of Drosophila olfactory sensory neurons.

    abstract::The lack of a deeper understanding of how olfactory sensory neurons (OSNs) encode odors has hindered the progress in understanding the olfactory signal processing in higher brain centers. Here we employ methods of system identification to investigate the encoding of time-varying odor stimuli and their representation f...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0265-0

    authors: Kim AJ,Lazar AA,Slutskiy YB

    更新日期:2011-02-01 00:00:00

  • Model analyses of visual biofeedback training for EEG-based brain-computer interface.

    abstract::The primary goal of this study was to construct a simulation model of a biofeedback brain-computer interface (BCI) system to analyze the effect of biofeedback training on BCI users. A mathematical model of a man-machine visual-biofeedback BCI system was constructed to simulate a subject using a BCI system to control c...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-009-0148-4

    authors: Chen CW,Ju MS,Sun YN,Lin CC

    更新日期:2009-12-01 00:00:00

  • Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

    abstract::Neuron modeling may be said to have originated with the Hodgkin and Huxley action potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over the ensuing decades, these approaches have led to a massive development of increasingly accurate and complex data-based models of neurons and ne...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章,评审

    doi:10.1007/s10827-016-0623-7

    authors: McDougal RA,Morse TM,Carnevale T,Marenco L,Wang R,Migliore M,Miller PL,Shepherd GM,Hines ML

    更新日期:2017-02-01 00:00:00

  • Virtual Retina: a biological retina model and simulator, with contrast gain control.

    abstract::We propose a new retina simulation software, called Virtual Retina, which transforms a video into spike trains. Our goal is twofold: Allow large scale simulations (up to 100,000 neurons) in reasonable processing times and keep a strong biological plausibility, taking into account implementation constraints. The underl...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-008-0108-4

    authors: Wohrer A,Kornprobst P

    更新日期:2009-04-01 00:00:00

  • Local diameter fully constrains dendritic size in basal but not apical trees of CA1 pyramidal neurons.

    abstract::Computational modeling of dendritic morphology is a powerful tool for quantitatively describing complex geometrical relationships, uncovering principles of dendritic development, and synthesizing virtual neurons to systematically investigate cellular biophysics and network dynamics. A feature common to many morphologi...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-1850-5

    authors: Donohue DE,Ascoli GA

    更新日期:2005-10-01 00:00:00

  • A model of selective processing of auditory-nerve inputs by stellate cells of the antero-ventral cochlear nucleus.

    abstract::Stellate cells in the cat antero-ventral cochlear nucleus (AVCN) maintain a robust rate-place representation of vowel spectra over a wide range of stimulus levels. This rate-place representation resembles that of low threshold, high spontaneous rate (SR) auditory nerve fibers (ANFs) at low stimulus levels, and that of...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章,评审

    doi:10.1007/BF00961733

    authors: Lai YC,Winslow RL,Sachs MB

    更新日期:1994-08-01 00:00:00

  • Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input.

    abstract::The response of leaky integrate-and-fire neurons is analyzed for periodic inputs whose phases vary with their spatial location. The model gives the relationship between the spatial summation distance and the degree of phase locking of the output spikes (i.e., locking to the periodic stochastic inputs, measured by the ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1014994113776

    authors: Kuhlmann L,Burkitt AN,Paolini A,Clark GM

    更新日期:2002-01-01 00:00:00

  • Model of familiarity discrimination in the perirhinal cortex.

    abstract::Much evidence indicates that recognition memory involves two separable processes, recollection and familiarity discrimination, with familiarity discrimination being dependent on the perirhinal cortex of the temporal lobe. Here, we describe a new neural network model designed to mimic the response patterns of perirhina...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008925909305

    authors: Bogacz R,Brown MW,Giraud-Carrier C

    更新日期:2001-01-01 00:00:00

  • Spectral analysis of event-related hemodynamic responses in functional near infrared spectroscopy.

    abstract::The goal of this paper is to design experiments that confirm the evidence of cognitive responses in functional near infrared spectroscopy and to establish relevant spectral subbands. Hemodynamic responses of brain during single-event trials in an odd-ball experiment are measured by functional near infrared spectroscop...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-005-5478-2

    authors: Akgül CB,Sankur B,Akin A

    更新日期:2005-01-01 00:00:00

  • Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

    abstract::Following a flashed stimulus, I show that a simple neurophysiological mechanism in the primary visual system can generate orientation selectivity based on the first incoming spikes. A biological model of the lateral geniculate nucleus generates an asynchronous wave of spikes, with the most strongly activated neurons f...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1027420012134

    authors: Delorme A

    更新日期:2003-11-01 00:00:00

  • Spiking neural circuits with dendritic stimulus processors : encoding, decoding, and identification in reproducing kernel Hilbert spaces.

    abstract::We present a multi-input multi-output neural circuit architecture for nonlinear processing and encoding of stimuli in the spike domain. In this architecture a bank of dendritic stimulus processors implements nonlinear transformations of multiple temporal or spatio-temporal signals such as spike trains or auditory and ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-014-0522-8

    authors: Lazar AA,Slutskiy YB

    更新日期:2015-02-01 00:00:00

  • A temporal mechanism for generating the phase precession of hippocampal place cells.

    abstract::The phase relationship between the activity of hippocampal place cells and the hippocampal theta rhythm systematically processes as the animal runs through the region in an environment called the place field of the cell. We present a minimal biophysical model of the phase precession of place cells in region CA3 of the...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008976210366

    authors: Bose A,Booth V,Recce M

    更新日期:2000-07-01 00:00:00

  • Compensating for synaptic loss in Alzheimer's disease.

    abstract::Confirming that synaptic loss is directly related to cognitive deficit in Alzheimer's disease (AD) has been the focus of many studies. Compensation mechanisms counteract synaptic loss and prevent the catastrophic amnesia induced by synaptic loss via maintaining the activity levels of neural circuits. Here we investiga...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0462-8

    authors: Abuhassan K,Coyle D,Belatreche A,Maguire L

    更新日期:2014-02-01 00:00:00

  • Modeling Hermissenda: I. Differential contributions of IA and IC to type-B cell plasticity.

    abstract::We developed a multicompartmental Hodgkin-Huxley model of the Hermissenda type-B photoreceptor and used it to address the relative contributions of reductions of two K+ currents, IA and IC, to changes in cellular excitability and synaptic strength that occur in these cells after associative learning. We found that red...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/BF00160809

    authors: Fost JW,Clark GA

    更新日期:1996-06-01 00:00:00

  • The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: II. Active membrane properties.

    abstract::The voltage-gated currents in the fly lobula plate tangential cells were examined using the switched electrode voltage clamp technique. In CH cells, two currents were identified (Figs. 1, 2): a slow calcium inward current and a delayed rectifying, noninactivating potassium outward current. HS and VS cells appear to po...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1023/a:1008804117334

    authors: Haag J,Theunissen F,Borst A

    更新日期:1997-11-01 00:00:00

  • Firing-rate models capture essential response dynamics of LGN relay cells.

    abstract::Firing-rate models provide a practical tool for studying signal processing in the early visual system, permitting more thorough mathematical analysis than spike-based models. We show here that essential response properties of relay cells in the lateral geniculate nucleus (LGN) can be captured by surprisingly simple fi...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-013-0456-6

    authors: Heiberg T,Kriener B,Tetzlaff T,Casti A,Einevoll GT,Plesser HE

    更新日期:2013-12-01 00:00:00

  • Modelling acute and lasting effects of tDCS on epileptic activity.

    abstract::Transcranial Direct brain stimulation (tDCS) is commonly used in order to modulate cortical networks activity during physiological processes through the application of weak electrical fields with scalp electrodes. Cathodal stimulation has been shown to decrease brain excitability in the context of epilepsy, with varia...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00745-6

    authors: Denoyer Y,Merlet I,Wendling F,Benquet P

    更新日期:2020-05-01 00:00:00

  • The effect of neural adaptation on population coding accuracy.

    abstract::Most neurons in the primary visual cortex initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. The functional consequences of adaptation are unclear. Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, b...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0358-4

    authors: Cortes JM,Marinazzo D,Series P,Oram MW,Sejnowski TJ,van Rossum MC

    更新日期:2012-06-01 00:00:00

  • Modeling shifts in the rate and pattern of subthalamopallidal network activity during deep brain stimulation.

    abstract::Deep brain stimulation (DBS) of the subthlamic nucleus (STN) represents an effective treatment for medically refractory Parkinson's disease; however, understanding of its effects on basal ganglia network activity remains limited. We constructed a computational model of the subthalamopallidal network, trained it to fit...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-010-0225-8

    authors: Hahn PJ,McIntyre CC

    更新日期:2010-06-01 00:00:00

  • Phase precession through acceleration of local theta rhythm: a biophysical model for the interaction between place cells and local inhibitory neurons.

    abstract::Phase precession is one of the most well known examples within the temporal coding hypothesis. Here we present a biophysical spiking model for phase precession in hippocampal CA1 which focuses on the interaction between place cells and local inhibitory interneurons. The model's functional block is composed of a place ...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-011-0378-0

    authors: Castro L,Aguiar P

    更新日期:2012-08-01 00:00:00

  • Spatiotemporal model of tripartite synapse with perinodal astrocytic process.

    abstract::Information transfer may not be limited only to synapses. Therefore, the processes and dynamics of biological neuron-astrocyte coupling and intercellular interaction within this domain are worth investigating. Existing models of tripartite synapse consider an astrocyte as a point process. Here, we extended the tripart...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-019-00734-4

    authors: Lorenzo J,Vuillaume R,Binczak S,Jacquir S

    更新日期:2020-02-01 00:00:00

  • Dynamics of a neuron-glia system: the occurrence of seizures and the influence of electroconvulsive stimuli : A mathematical and numerical study.

    abstract::In this paper, we investigate the dynamics of a neuron-glia cell system and the underlying mechanism for the occurrence of seizures. For our mathematical and numerical investigation of the cell model we will use bifurcation analysis and some computational methods. It turns out that an increase of the potassium concent...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-020-00746-5

    authors: Erhardt AH,Mardal KA,Schreiner JE

    更新日期:2020-05-01 00:00:00

  • Using extracellular action potential recordings to constrain compartmental models.

    abstract::We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the EAP is superior to matching the intracellular action potential (IAP). In agreement with previous studies, we find that the IAP method under-constrain...

    journal_title:Journal of computational neuroscience

    pub_type: 杂志文章

    doi:10.1007/s10827-006-0018-2

    authors: Gold C,Henze DA,Koch C

    更新日期:2007-08-01 00:00:00