Abstract:
:Many neuron types exhibit preferred frequency responses in their voltage amplitude (resonance) or phase shift to subthreshold oscillatory currents, but the effect of biophysical parameters on these properties is not well understood. We propose a general framework to analyze the role of different ionic currents and their interactions in shaping the properties of impedance amplitude and phase in linearized biophysical models and demonstrate this approach in a two-dimensional linear model with two effective conductances g L and g1. We compute the key attributes of impedance and phase (resonance frequency and amplitude, zero-phase frequency, selectivity, etc.) in the g(L) - g1 parameter space. Using these attribute diagrams we identify two basic mechanisms for the generation of resonance: an increase in the resonance amplitude as g1 increases while the overall impedance is decreased, and an increase in the maximal impedance, without any change in the input resistance, as the ionic current time constant increases. We use the attribute diagrams to analyze resonance and phase of the linearization of two biophysical models that include resonant (I h or slow potassium) and amplifying currents (persistent sodium). In the absence of amplifying currents, the two models behave similarly as the conductances of the resonant currents is increased whereas, with the amplifying current present, the two models have qualitatively opposite responses. This work provides a general method for decoding the effect of biophysical parameters on linear membrane resonance and phase by tracking trajectories, parametrized by the relevant biophysical parameter, in pre-constructed attribute diagrams.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Rotstein HG,Nadim Fdoi
10.1007/s10827-013-0483-3subject
Has Abstractpub_date
2014-08-01 00:00:00pages
9-28issue
1eissn
0929-5313issn
1573-6873journal_volume
37pub_type
杂志文章abstract::The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we first show theoretically that if the medium is resistive, the frequency scaling should be the same for electroencephalogram (EEG) and magne...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0252-5
更新日期:2010-06-17 00:00:00
abstract::We have developed compact analog integrated circuits that simulate two synaptic excitatory conductances. A four-transistor circuit captures the dynamics of an excitatory postsynaptic current caused by a real AMPA conductance. A six-transistor circuit simulates the effects of a real voltage-dependent NMDA conductance. ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1008963426194
更新日期:1999-07-01 00:00:00
abstract::According to a popular hypothesis, short-term memories are stored as persistent neural activity maintained by synaptic feedback loops. This hypothesis has been formulated mathematically in a number of recurrent network models. Here we study an abstraction of these models, a single neuron with a synapse onto itself, or...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1008971908649
更新日期:2000-09-01 00:00:00
abstract::Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/B:JCNS.0000023869.22017.2e
更新日期:2004-07-01 00:00:00
abstract::Networks of hippocampal interneurons, with pyramidal neurons pharmacologically disconnected, can generate gamma-frequency (20 Hz and above) oscillations. Experiments and models have shown how the network frequency depends on excitation of the interneurons, and on the parameters of GABAA-mediated IPSCs between the inte...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1008839312043
更新日期:1997-04-01 00:00:00
abstract::This paper presents a synergistic parametric and non-parametric modeling study of short-term plasticity (STP) in the Schaffer collateral to hippocampal CA1 pyramidal neuron (SC) synapse. Parametric models in the form of sets of differential and algebraic equations have been proposed on the basis of the current underst...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-008-0098-2
更新日期:2009-02-01 00:00:00
abstract::The paper presents a hierarchical series of computational models for myelinated axonal compartments. Three classes of models are considered, either with distributed parameters (2.5D EQS-ElectroQuasi Static, 1D TL-Transmission Lines) or with lumped parameters (0D). They are systematically analyzed with both analytical ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-019-00726-4
更新日期:2019-12-01 00:00:00
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
更新日期:2010-06-01 00:00:00
abstract::Linear additivity of synaptic input is a pervasive assumption in computational neuroscience, and previously Bernander et al. (Journal of Neurophysiology 72:2743-2753, 1994) point out that the sublinear additivity of a passive neuronal model can be linearized with voltage-dependent currents. Here we re-examine this per...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-009-0141-y
更新日期:2009-10-01 00:00:00
abstract::The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we first show theoretically that if the medium is resistive, the frequency scaling should be the same for electroencephalogram (EEG) and magne...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-010-0263-2
更新日期:2010-12-01 00:00:00
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
更新日期:2017-02-01 00:00:00
abstract::Nonlinear dynamics provides a complementary framework to control theory for the quantitative analysis of the oculomotor control system. This paper presents a number of findings relating to the aetiology and mechanics of the pathological ocular oscillation jerk congenital nystagmus (jerk CN). A range of time series ana...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-006-7816-4
更新日期:2006-10-01 00:00:00
abstract::The precise mapping of how complex patterns of synaptic inputs are integrated into specific patterns of spiking output is an essential step in the characterization of the cellular basis of network dynamics and function. Relative to other principal neurons of the hippocampus, the electrophysiology of CA1 pyramidal cell...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-006-8797-z
更新日期:2006-10-01 00:00:00
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
更新日期:2001-11-01 00:00:00
abstract::Many neuronal systems exhibit slow random alternations and sudden switches in activity states. Models with noisy relaxation dynamics (oscillatory, excitable or bistable) account for these temporal, slow wave, patterns and the fluctuations within states. The noise-induced transitions in a relaxation dynamics are analog...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-009-0178-y
更新日期:2010-02-01 00:00:00
abstract::Avian brain area HVC is known to be important for the production of birdsong. In zebra finches, each RA-projecting neuron in HVC emits a single burst of spikes during a song motif. The population of neurons is activated in a precisely timed, stereotyped sequence. We propose a model of these burst sequences that relies...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-007-0032-z
更新日期:2007-12-01 00:00:00
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
更新日期:2009-04-01 00:00:00
abstract::Rhythmic bursting activity, found in many biological systems, serves a variety of important functions. Such activity is composed of episodes, or bursts (the active phase, AP) that are separated by quiescent periods (the silent phase, SP). Here, we use mean field, firing rate models of excitatory neural network activit...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-006-8862-7
更新日期:2006-12-01 00:00:00
abstract::During neural development sensory stimulation induces long-term changes in the receptive field of the neurons that encode the stimuli. The Bienenstock-Cooper-Munro (BCM) model was introduced to model and analyze this process computationally, and it remains one of the major models of unsupervised plasticity to this day...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-019-00715-7
更新日期:2019-04-01 00:00:00
abstract::Within the theory that describes the hippocampus as a device for the on-line storage of complex memories, the crucial autoassociative operations are ascribed mainly to the recurrent CA3 network. The CA3-to-CA1 connections may still be important, both in completing information retrieval and in re-expanding, with minima...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/BF00961437
更新日期:1995-09-01 00:00:00
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
更新日期:2011-10-01 00:00:00
abstract::This work presents a probabilistic method for inferring the parameter ranges in a biologically relevant mathematical model of the cortex most likely to be producing seizures observed in an electrocorticogram (ECoG) signal from a human subject. Additionally, this method produces a probabilistic pathway of the temporal ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-015-0554-8
更新日期:2015-06-01 00:00:00
abstract::Synaptic plasticity is believed to represent the neural correlate of mammalian learning and memory function. It has been demonstrated that changes in synaptic conductance can be induced by approximately synchronous pairings of pre- and post- synaptic action potentials delivered at low frequencies. It has also been est...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-012-0397-5
更新日期:2012-12-01 00:00:00
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
更新日期:2012-08-01 00:00:00
abstract::We present a new method to characterize multi-input and output neuronal systems using information theory. To obtain a lower bound of transinformation we take three steps: (1) Estimation of the deterministic response to isolate components carrying stimulus information. The deviation of the original response from the de...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/a:1016583328930
更新日期:2002-05-01 00:00:00
abstract::The calcium calmodulin dependent kinase (CaMKII) is important for long-term potentiation at dendritic spines. Photo-activatable GFP (PaGFP) - CaMKII fusions were used to map CaMKII movements between and within spines in dissociated hippocampal neurons. Photo-activated PaGFP (GFP*) generated in the shaft spread uniform...
journal_title:Journal of computational neuroscience
pub_type: 历史文章,杂志文章
doi:10.1007/s10827-011-0377-1
更新日期:2012-08-01 00:00:00
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 arb...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-018-0696-6
更新日期:2018-12-01 00:00:00
abstract::The active dendritic conductances shape the input-output properties of many principal neurons in different brain regions, and the various ways in which they regulate neuronal excitability need to be investigated to better understand their functional consequences. Using a realistic model of a hippocampal CA1 pyramidal ...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1023/b:jcns.0000004837.81595.b0
更新日期:2004-01-01 00:00:00
abstract::We present a computational study aimed at exploring the sensorimotor cortex modulation of the behaviour of dorsal column nuclei, specifically the impact of synaptic parameters, during both sleep and waking conditions. On the basis of the circuit proposed by Canedo et al. (2000), we have developed realistic computation...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-006-7058-5
更新日期:2006-08-01 00:00:00
abstract::A number of tests exist to check for statistical significance of phase synchronisation within the Electroencephalogram (EEG); however, the majority suffer from a lack of generality and applicability. They may also fail to account for temporal dynamics in the phase synchronisation, regarding synchronisation as a consta...
journal_title:Journal of computational neuroscience
pub_type: 杂志文章
doi:10.1007/s10827-012-0428-2
更新日期:2013-06-01 00:00:00