**action potential**,**adaptation**,**afterpotential****alpha function****AMPA receptor**,**analog neuron****arborization function****Arrhenius formula****Arrhenius&Current model****asynchronous firing****asynchronous firing****stability**

**attractor length****auditory system****autocorrelation function****axon****back propagating action potential****balanced excitation and inhibition**, ,**barn owl, auditory system****BCM rule****bifurcation****bifurcation****Hopf****saddle-node**

**binary neuron****blobs of activity****cable equation****calcium****current**,**dynamics****second messenger**

**cluster states**,**coding, neuronal****coding, neuronal****correlation code**, ,**phase code**, , ,**pulse code**,**rate code**, , , ,**signal transmission**, ,**spike code**, , ,

**coefficient of variation****coincidence detector**,**coincidence rate****compartmental model****competition****complex cells****conditioning****conductance-based neuron model**,**connectivity****mexican hat**,**sparse random**

**continuity equation****correlation code**,**correlation function****correlation matrix****correlation****input-output**,**reverse**,**spatio-temporal****spike-spike**

**cortical map****covariance matrix****covariance rule****delay lines**, ,**dendrite**,**dendrite****compartmental model**

**density equation****density equation****for membrane potential****for phase variable****for refractory variable**

**diffusion model**,**electric fish****entropy****epsilon kernel****definition****interpretation**

**escape model****escape model****for population**

**escape rate****eta kernel****definition****for Hodgkin-Huxley model****interpretation**

**excitable system****field equation**,**field equation****blob/bump solution****for hypercolumn****for several populations****for spiking neurons****homogeneous solution**

**firing intensity****firing rate**, , ,**firing rate****instantaneous****joint**

**first passage time****first principal component**,**fish, electric****FitzHugh-Nagumo model**,**FitzHugh-Nagumo model****impulse response****nullclines**

**fixed point****flow field****flux****across threshold****drift****jump****refractory**

**Fokker-Planck equation**, ,**frozen noise****gain function****gain function****and population activity****of Hodkgin-Huxley model****of integrate-and-fire model****noise-free****with noise**

**of neocortical neuron model****type I****type II**

**gating variable****Green's function****hazard****hazard model****Hebb's postulate****Hodgkin-Huxley model****Hodgkin-Huxley model****eta kernel****gain function****kappa kernel****reduction to SRM****reduction to two dimensions**

**Hopf bifurcation****Hopf bifurcation****subcritical****supercritical**

**hypercolumn****impulse response****impulse response****FitzHugh-Nagumo model**

**inferior olive****information theory****inhibition****shunting**

**inhibitory rebound**, ,**integrate-and-fire model****integrate-and-fire model****gain function****leaky****multi-compartment****multi-compartment****relation to SRM****relation to SRM**_{0}

**noisy****nonlinear**,**quadratic****relation to detailed model****relation to SRM****two-compartment**

**interneuron model****reduction to nonlinear i&f****reduction to SRM**

**interval distribution****interval distribution****input-dependent****for escape rate models****for inhomogeneous Poisson process****for periodic input****interspike**

**ion channel**,**ion channel****A-current****potassium****sodium**

**ion current****calcium**

**kappa kernel****definition****for Hodgkin-Huxley model****interpretation**

**Kramers-Moyal expansion****Langevin equation**,**lateral geniculate nucleus (LGN)****learning equation****learning rule****Oja's**

**learning window**,**limit cycle**,**locking****locking****noise-free****theorem**,**with noise**

**long-term potentiation|seeLTP****low-connectivity network****LTP****LTP****heterosynaptic****homosynaptic**

**Markov Process****master equation****McCulloch-Pitts neuron****mean field dynamics****membrane potential****membrane potential****density**, ,**stationary distribution**

**Morris-Lecar model**,**Nernst potential****neuron****neuron****bursting****postsynaptic****presynaptic**

**neurotransmitter****NMDA receptor**, ,**NMDA receptor****coincidence detector**

**noise****noise model****diffusive noise****noisy integration****noisy reset****noisy threshold****random connectivity****stochastic spike arrival**

**noise spectrum****noise****channel****escape****Gaussian white****Johnson****slow****synaptic**,**thermal**

**nullclines****Oja's rule****orientation selectivity****orientation selectivity****map**

**orientation selectivity, model of****Ornstein-Uhlenbeck process**,**oscillation****oscillation****as an instability****cluster states**,**of spatial network****synchronous irregular****synchronous locked**

**owl****pairing experiment****phase code**,**phase plane analysis****phase portrait****place cells****point process****Poisson neuron****Poisson neuron****linear****with absolute refractoriness**,

**Poisson process****Poisson process****homogeneous****inhomogeneous**, ,

**population****population activity****population activity****as a flux****asynchronous firing****blobs/bumps of****continuum model****definition**,**density equation****field equation**,**integral equation****linearized equation**,**noise-free equation****oscillations****transients****Wilson-Cowan equation**, ,

**population vector****population****coupled**,**fully connected****homogeneous****inhomogeneous****rate model**

**postsynaptic potential**,**postsynaptic potential****excitatory****inhibtory**

**power spectrum****prediction****primary visual cortex (V1)****principal component analysis****principal components****PSTH, peri-stimulus time histogram**,**pulse code, see coding****quasi steady state****random connectivity****random walk****rate**,**rate code**,**rate****mean firing rate**,**population activity****spike density**

**rebound, inhibitory**, ,**receptive field****receptive field****development**

**receptive fields****asymmetric****center-surround**

**reconstruction kernel****refractoriness****refractory density****refractory period****refractory period****absolute****Hodgkin-Huxley model**,

**renewal****hypothesis****process**

**response kernel****reverberating loop****reversal potential**,**reverse correlation**,**saddle point****self-averaging****separation of time scales****sequences****short-term memory****signal transmission**, , ,**signal-to-noise ratio**, ,**simple cells****soma****sparse network****spike packets****spike response model****spike response model****definition****motoneuron model****relation to Hodkgin-Huxley model****relation to integrate-and-fire****simplified model SRM**_{0}

**spike train****spike train****irregular**

**spiking neuron model****spiking neuron model****SRM**,_{0}

**spontaneous activity**,**stability****stability-plasticity dilemma****stable manifold****static-pattern scenario****with analog neurons****with spiking neurons**

**Stein's model****stimulation****sub-/superthreshold**

**stochastic differential equation****stochastic intensity****stochastic process****doubly stochastic**

**stochastic rate model****stochastic resonance****survivor function****synapse**, ,**synapse****AMPA****excitatory****inhibitory****NMDA**,**postsynaptic neuron**,**postsynaptic potential****presynaptic neuron**,

**synaptic plasticity****anti-Hebbian**,**associativity****competition****consolidation of synaptic weights****cooperativity**,**Hebbian****locality****non-Hebbian**,**spike-time dependent**,

**synaptic transmission failure****synaptic weights****competition****distribution****evolution of****hard bounds****long-term behavior****multiplicative normalization****normalization****soft bounds****subtractive normalization**

**synaptic****transmission failures**

**synchrony**, ,**synfire chain**,**threshold****threshold****of Hodgkin-Huxley model**,**of type I models****of type II models**

**transfer function****transfer function****with diffusive noise****with escape noise****with slow noise**

**transient response****transient response****noise-free****with noise**

**transinformation****type I/II model****type I/II model****bifurcations****onset of oscillations****stable manifold****threshold**

**Volterra series****waves****in rate model****in spiking model****of spike packets**,

**Wiener-Khinchin Theorem****Wilson-Cowan model**,**Wilson-Cowan model****differential equation**,**field equation**,**integral equation**, ,

**working memory**

Gerstner and Kistler

Cambridge University Press, 2002

© Cambridge University Press

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