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Modeling stability in neuron and network function: the role of activity
... burster, but rather fired three spikes per burst.(26) In this case, averaging fails because the phenotype depends not on one single conductance, but on the correlated levels of several and illustrates that, although building models from average data is often reliable, it is not necessarily so. Unfor ...
... burster, but rather fired three spikes per burst.(26) In this case, averaging fails because the phenotype depends not on one single conductance, but on the correlated levels of several and illustrates that, although building models from average data is often reliable, it is not necessarily so. Unfor ...
Letter to Neuroscience
... separated by 1 mm at their tips) were used to record the hippocampal EEG. Reference and ground screw electrodes were placed over frontal and occipital regions of the cortex. Commercial tungsten microelectrodes (5^10 M6) were used to record single cell activity in the ATh. Well-isolated single units ...
... separated by 1 mm at their tips) were used to record the hippocampal EEG. Reference and ground screw electrodes were placed over frontal and occipital regions of the cortex. Commercial tungsten microelectrodes (5^10 M6) were used to record single cell activity in the ATh. Well-isolated single units ...
Phase synchronization of bursting neurons in clustered small
... have a bursting regime. In our case we consider randomly the values of α within the interval [4.1,4.4] according to a uniform distribution. The parameters σ and β take on small values, describing the slow time scale represented by bursts, in accordance with the results obtained to model the action o ...
... have a bursting regime. In our case we consider randomly the values of α within the interval [4.1,4.4] according to a uniform distribution. The parameters σ and β take on small values, describing the slow time scale represented by bursts, in accordance with the results obtained to model the action o ...
Spiking Neurons with Boltzmann-like Properties to
... with neural systems, learning is merely the change of connection strengths, which are biologically synaptic strengths; with Hebbian learning, the strengths are changed based solely on the properties of the pre and and post-synaptic neurons. This is typically the firing behaviour of these neurons, an ...
... with neural systems, learning is merely the change of connection strengths, which are biologically synaptic strengths; with Hebbian learning, the strengths are changed based solely on the properties of the pre and and post-synaptic neurons. This is typically the firing behaviour of these neurons, an ...
pdf 2.5M
... with single-unit or otherwise very small networks [9]. Unstable Periodic Orbits (UPOs) can be stabilized from within chaos, very fast and with minimum perturbation of the original system. The original chaotic attractor contains an infinite number of such dynamical modes, some of which can be stabiliz ...
... with single-unit or otherwise very small networks [9]. Unstable Periodic Orbits (UPOs) can be stabilized from within chaos, very fast and with minimum perturbation of the original system. The original chaotic attractor contains an infinite number of such dynamical modes, some of which can be stabiliz ...
Multi-Scale Modeling of the Primary Visual Cortex
... its striking recent examples are the observed patterns of spontaneous cortical activity [5, 6] and the cortical dynamics corresponding to the Hikosaka linemotion illusion [7, 8]. Such spatiotemporal activity presents an array of intriguing possibilities of functional significance for sensory informa ...
... its striking recent examples are the observed patterns of spontaneous cortical activity [5, 6] and the cortical dynamics corresponding to the Hikosaka linemotion illusion [7, 8]. Such spatiotemporal activity presents an array of intriguing possibilities of functional significance for sensory informa ...
“Epileptic Neurons” in Temporal Lobe Epilepsy
... factor in the neuronal hyperexcitability seen in both acute and chronic epilepsy models. The demonstration of the de novo appearance of Ca2+-dependent intrinsic bursting in the pilocarpine model of TLE is intriguing. It would be of utmost importance to identify the molecular basis of this alteration ...
... factor in the neuronal hyperexcitability seen in both acute and chronic epilepsy models. The demonstration of the de novo appearance of Ca2+-dependent intrinsic bursting in the pilocarpine model of TLE is intriguing. It would be of utmost importance to identify the molecular basis of this alteration ...
BvP neurons exhibit a larger variety in statistics of inter
... bifurcation are called “Class I” neurons, while those displaying the Hopf bifurcation are called “Class II” neurons. One characteristic difference between the two classes is in the spike frequency. The spike frequency of a Class I neuron increases continuously from zero as a function of the input cu ...
... bifurcation are called “Class I” neurons, while those displaying the Hopf bifurcation are called “Class II” neurons. One characteristic difference between the two classes is in the spike frequency. The spike frequency of a Class I neuron increases continuously from zero as a function of the input cu ...
Dependence of the input-firing rate curve of neural cells on
... input to a mean group of neurons the population behaviour is calculated. This behaviour is described by the firerate as function of the input. The task of this thesis is to find the influence of ion concentrations on the dynamics of a single neuron and then on the mean behaviour of neurons. This can ...
... input to a mean group of neurons the population behaviour is calculated. This behaviour is described by the firerate as function of the input. The task of this thesis is to find the influence of ion concentrations on the dynamics of a single neuron and then on the mean behaviour of neurons. This can ...
Neural Oscillations
... In the network with no I-to-E cross-circuit projections: E cells receive only local inhibition (two spikes instead of four) – Here the timing of I spikes does not affect the range of delays over which the synchrony is stable – System in general is more tricky and can have some weird aperiodic or hig ...
... In the network with no I-to-E cross-circuit projections: E cells receive only local inhibition (two spikes instead of four) – Here the timing of I spikes does not affect the range of delays over which the synchrony is stable – System in general is more tricky and can have some weird aperiodic or hig ...
Impairment of a parabolic bursting rhythm by the ectopic expression
... patterns of R15 (A1,A2) before and 8 h after rSK2 (A1) or GFP (A2) expression. (B) Effects of rSK2 overexpression on burst duration (B1) and on the intraburst frequency of R15 (B2). (B1) The rSK2 overexpression increases the burst duration by inducing an irregular bursting activity in R15 (*P , 0:05 ...
... patterns of R15 (A1,A2) before and 8 h after rSK2 (A1) or GFP (A2) expression. (B) Effects of rSK2 overexpression on burst duration (B1) and on the intraburst frequency of R15 (B2). (B1) The rSK2 overexpression increases the burst duration by inducing an irregular bursting activity in R15 (*P , 0:05 ...
Modeling goal-directed spatial navigation in the rat based on physiological
... afferent and recurrent transmission modulations impose the repetition frequency and ensure that new input enters the buffer at the theta trough. This rhythmic modulation is regulated by a spike generator which simulates data on theta rhythmic firing of neurons in the septum. While the capacity is li ...
... afferent and recurrent transmission modulations impose the repetition frequency and ensure that new input enters the buffer at the theta trough. This rhythmic modulation is regulated by a spike generator which simulates data on theta rhythmic firing of neurons in the septum. While the capacity is li ...
PDF - Center for Theoretical Neuroscience
... Fig. 4. Comparison of reduced and full models. Top panel: Simulation of full Hodgkin-Huxley model (solid lines) for the squid axon in response to a release from tonic hyperpolarization. Superimposed is the simulation ofthe reduced Hodgkin-Huxley model (dashed lines) in response to the same stimulus ...
... Fig. 4. Comparison of reduced and full models. Top panel: Simulation of full Hodgkin-Huxley model (solid lines) for the squid axon in response to a release from tonic hyperpolarization. Superimposed is the simulation ofthe reduced Hodgkin-Huxley model (dashed lines) in response to the same stimulus ...
The quantitative single-neuron modeling competition | SpringerLink
... combine features of standard leaky integrate-and-fire models with a second variable reflecting adaptation, refractoriness, or a dynamic threshold. Keywords Integrate-and-fire model · Quantitative predictions · Benchmark testing · Scientific competition ...
... combine features of standard leaky integrate-and-fire models with a second variable reflecting adaptation, refractoriness, or a dynamic threshold. Keywords Integrate-and-fire model · Quantitative predictions · Benchmark testing · Scientific competition ...
The combinatorics and dynamics of a discrete k winners take all
... Exercise 2. Let n denote the set of vertices in G. Let p be the smallest positive integer for which a t exists such that At+p = At. Prove that ≤ we say about t+p? ...
... Exercise 2. Let n denote the set of vertices in G. Let p be the smallest positive integer for which a t exists such that At+p = At. Prove that ≤ we say about t+p? ...
Discrete Modeling of Multi-Transmitter Neural Networks with Neuron
... The main advantage of these models is their expressive power – they describe the processes taking place on a cellular membrane with a high degree of accuracy. However, this advantage turns into a disadvantage: an abundance of parameters, some of which cannot be measured accurately, makes the model ...
... The main advantage of these models is their expressive power – they describe the processes taking place on a cellular membrane with a high degree of accuracy. However, this advantage turns into a disadvantage: an abundance of parameters, some of which cannot be measured accurately, makes the model ...
Resting Membrane Potential
... • Accumulated electrical potentials in the dendrites • From an outside electrical signal • The result of any of these electrical stimulations is the opening of Na+ ion channels • Which direction will the Na+ ions want to go? • What effect will the diffusion of Na+ ions have on the overall charge of ...
... • Accumulated electrical potentials in the dendrites • From an outside electrical signal • The result of any of these electrical stimulations is the opening of Na+ ion channels • Which direction will the Na+ ions want to go? • What effect will the diffusion of Na+ ions have on the overall charge of ...
The neuron Label the following terms: Soma Axon terminal Axon
... 1. The presynaptic neuron sends neurotransmitters to postsynaptic neuron. 2. Neurotransmitters bind to receptors on the postsynaptic cell. - This action will either excite or inhibit the postsynaptic cell. - The soma becomes more positive. 3. The positive charge reaches the axon hillock. - Once the ...
... 1. The presynaptic neuron sends neurotransmitters to postsynaptic neuron. 2. Neurotransmitters bind to receptors on the postsynaptic cell. - This action will either excite or inhibit the postsynaptic cell. - The soma becomes more positive. 3. The positive charge reaches the axon hillock. - Once the ...
Inhibitory inputs increase a neurons`s "ring rate
... inputs to exactly balanced inhibitory and excitatory inputs. We term the phenomenon increasing-inhibition boosted "ring (IBF). A natural and interesting question is then why and when increasing inhibitory inputs to a neuron can boost its e!erent "ring rate. A full treatment of the HH and the FHN mod ...
... inputs to exactly balanced inhibitory and excitatory inputs. We term the phenomenon increasing-inhibition boosted "ring (IBF). A natural and interesting question is then why and when increasing inhibitory inputs to a neuron can boost its e!erent "ring rate. A full treatment of the HH and the FHN mod ...
Chaos and neural dynamics
... The main results in this avenue are associated with the analysis of the behavior of individual neurons and neural ensembles, which confirms that the dynamics of a collection of neurons is more regular than their individual dynamics. This is true also for small nerve systems such as central r h y t h ...
... The main results in this avenue are associated with the analysis of the behavior of individual neurons and neural ensembles, which confirms that the dynamics of a collection of neurons is more regular than their individual dynamics. This is true also for small nerve systems such as central r h y t h ...
Lesson 4 Section 9.2 Electrochemical Impulse
... This happens from the axon of one neuron to the dendrite of another Neurons have a rich supply of positive (+) and negative (-) ions both inside and outside the cell Negative ions are too large to pass through the cell membrane The positive ions do have the ability to diffuse in and out of the cell ...
... This happens from the axon of one neuron to the dendrite of another Neurons have a rich supply of positive (+) and negative (-) ions both inside and outside the cell Negative ions are too large to pass through the cell membrane The positive ions do have the ability to diffuse in and out of the cell ...
Canonical Neural Models1
... (saddle) approaches the rest state (node), they coalesce and annihilate each other leaving only limit cycle attractor. The oscillation on the attractor has two time scales: slow transition through the “ghost” of the saddle-node bifurcation and fast rotation along the rest of the limit cycle. • Class ...
... (saddle) approaches the rest state (node), they coalesce and annihilate each other leaving only limit cycle attractor. The oscillation on the attractor has two time scales: slow transition through the “ghost” of the saddle-node bifurcation and fast rotation along the rest of the limit cycle. • Class ...
Neurons and Neural Networks: Computational Models CAMS
... compartmental models. Of course, compartmental resolution must be determined by the modeling question. If one wishes to model short structures, such as terminal branches or dendritic spines, very small compartments may be necessary. However, compartmental models can also be constructed in less deta ...
... compartmental models. Of course, compartmental resolution must be determined by the modeling question. If one wishes to model short structures, such as terminal branches or dendritic spines, very small compartments may be necessary. However, compartmental models can also be constructed in less deta ...
Neurons - Holterman
... 4. The sodium-potassium pump pushes 3 Na and 2 K against their concentration gradients using 1 ATP. It restores and maintains the resting potential by pushing more Na out of neuron and pushing more K into neuron. (But overall, it pushes more positive charges out of the cell than it brings in.) 5. T ...
... 4. The sodium-potassium pump pushes 3 Na and 2 K against their concentration gradients using 1 ATP. It restores and maintains the resting potential by pushing more Na out of neuron and pushing more K into neuron. (But overall, it pushes more positive charges out of the cell than it brings in.) 5. T ...