Cognon Neural Model Software Verification and
... terconnected networks of biological neurons can rapidly learn, store and recognize patterns using neural spikes. Numerous models have been proposed to explain this [14], but few have progressed to a stage of hardware implementation while retaining the essential biological character of neurons. The p ...
... terconnected networks of biological neurons can rapidly learn, store and recognize patterns using neural spikes. Numerous models have been proposed to explain this [14], but few have progressed to a stage of hardware implementation while retaining the essential biological character of neurons. The p ...
Effective connectivity of the subthalamic nucleus
... inactive component (Fig. 1). Note that STN neurons preferentially fire during the active component of the slow oscillation (Magill et al. 2001; Walters et al. 2007; Mallet et al. 2008a). Neurons of the same type tend to fire together, with small phase differences, whereas different types of neuron t ...
... inactive component (Fig. 1). Note that STN neurons preferentially fire during the active component of the slow oscillation (Magill et al. 2001; Walters et al. 2007; Mallet et al. 2008a). Neurons of the same type tend to fire together, with small phase differences, whereas different types of neuron t ...
Anticipated synchronization in neuronal circuits
... systems coupled in a master-slave configuration when the slave is subject to a negative delayed self-feedback. Many examples of AS dynamics have been found in different systems, however, theoretical and experimental evidence for it in the brain has been lacking. In this thesis work we investigate th ...
... systems coupled in a master-slave configuration when the slave is subject to a negative delayed self-feedback. Many examples of AS dynamics have been found in different systems, however, theoretical and experimental evidence for it in the brain has been lacking. In this thesis work we investigate th ...
KCNQ/M Channels Control Spike Afterdepolarization and Burst
... varied between three and seven (mean, 4.8 ⫾ 1.2; n ⫽ 30) across neurons. The spike frequency within bursts was also consistent for each neuron and varied across neurons between 121.9 –259.6 Hz (mean, 185.5 ⫾ 38.5; n ⫽ 30). Depolarization of CA1 pyramidal cells does not ordinarily induce bursting act ...
... varied between three and seven (mean, 4.8 ⫾ 1.2; n ⫽ 30) across neurons. The spike frequency within bursts was also consistent for each neuron and varied across neurons between 121.9 –259.6 Hz (mean, 185.5 ⫾ 38.5; n ⫽ 30). Depolarization of CA1 pyramidal cells does not ordinarily induce bursting act ...
Pacemaker Potentials for the Periodic Burst Discharge in the Heart
... do not produce slow potentials, the soma and dendrites must be where the slow potentials are generated. Hyperpolarization impedes generation of the slow potential, showing that it is an electrically excitable response. Membrane impedance increases on depolarization. Brief hyperpolarizing current can ...
... do not produce slow potentials, the soma and dendrites must be where the slow potentials are generated. Hyperpolarization impedes generation of the slow potential, showing that it is an electrically excitable response. Membrane impedance increases on depolarization. Brief hyperpolarizing current can ...
Theta Modulation in the Medial and the Lateral Entorhinal Cortices
... Rats were allowed to recover for 5– 6 days after surgery, until they regained and stabilized weight. During subsequent training and recordings, the rats were maintained at 80 –90% of their free-feeding weights. The rats were trained on two behavioral paradigms using food reward (chocolate sprinkles) ...
... Rats were allowed to recover for 5– 6 days after surgery, until they regained and stabilized weight. During subsequent training and recordings, the rats were maintained at 80 –90% of their free-feeding weights. The rats were trained on two behavioral paradigms using food reward (chocolate sprinkles) ...
Simulating Populations of Neurons - Leeds VLE
... Figure 2 Brodmann areas of the brain (Gazzaniga, 1998) ...................................................................... 9 Figure 3 Types of biological neurons in the nervous system (Gazzaniga, 1998) .................................. 10 Figure 4 Anatomy and Functional areas of the brain (http: ...
... Figure 2 Brodmann areas of the brain (Gazzaniga, 1998) ...................................................................... 9 Figure 3 Types of biological neurons in the nervous system (Gazzaniga, 1998) .................................. 10 Figure 4 Anatomy and Functional areas of the brain (http: ...
Computing with Spiking Neuron Networks
... the soma, the cell body of the neuron. This brief electric pulse (1 or 2ms duration) then travels along the neuron’s axon, that in turn is linked up to the receiving end of other neurons, the dendrites (see Figure 1, left view). At the end of the axon, synapses connect one neuron to another, and at ...
... the soma, the cell body of the neuron. This brief electric pulse (1 or 2ms duration) then travels along the neuron’s axon, that in turn is linked up to the receiving end of other neurons, the dendrites (see Figure 1, left view). At the end of the axon, synapses connect one neuron to another, and at ...
PDF
... coordinates (x, y), where x corresponds the longitudinal axis giving rostro-caudal (RC) position along the body and y corresponds to the vertical, dorso-ventral (DV) axis. The size of each rectangle is standardized: 600 < x < 4,000, 0 < y < 100 (these units are given in micrometers). It is important ...
... coordinates (x, y), where x corresponds the longitudinal axis giving rostro-caudal (RC) position along the body and y corresponds to the vertical, dorso-ventral (DV) axis. The size of each rectangle is standardized: 600 < x < 4,000, 0 < y < 100 (these units are given in micrometers). It is important ...
Computation with Spikes in a Winner-Take-All Network
... Yu, Giese, and Poggio (2002) and VLSI implementations in Chicca, Indiveri, and Douglas (2004), Abrahamsen, Häfliger, and Lande (2004), and Oster, Wang, Douglas, and Liu (2008). The next theoretical consideration are models with both spiking input and spiking output. Previous theoretical studies focu ...
... Yu, Giese, and Poggio (2002) and VLSI implementations in Chicca, Indiveri, and Douglas (2004), Abrahamsen, Häfliger, and Lande (2004), and Oster, Wang, Douglas, and Liu (2008). The next theoretical consideration are models with both spiking input and spiking output. Previous theoretical studies focu ...
Analysis of Firing Correlations Between Sympathetic Premotor
... Recent intracellular recordings from rat RVLM sympathetic premotor neurons in vivo demonstrate that under normal experimental conditions, action potentials in sympathetic premotor neurons invariably arise from depolarizing events with the characteristics of excitatory synaptic inputs (Lipski et al. ...
... Recent intracellular recordings from rat RVLM sympathetic premotor neurons in vivo demonstrate that under normal experimental conditions, action potentials in sympathetic premotor neurons invariably arise from depolarizing events with the characteristics of excitatory synaptic inputs (Lipski et al. ...
Networks of Spiking Neurons: The Third Generation of
... For some specified subset Vinput (~ V of input neurons one assumes that the firing times ( " s p i k e trains") Fu for neurons u ~ Vmput are not defined by the preceding convention, but are given from the outside. The firing times Fv for all other neurons v ~ V are determined by the previously descr ...
... For some specified subset Vinput (~ V of input neurons one assumes that the firing times ( " s p i k e trains") Fu for neurons u ~ Vmput are not defined by the preceding convention, but are given from the outside. The firing times Fv for all other neurons v ~ V are determined by the previously descr ...
Articles in PresS. J Neurophysiol (March 20, 2003). 10.1152/jn
... saccade task used by Kawagoe and colleagues (1998). This simulation demonstrates one specific instance of the generic properties of the model for particular values of input magnitudes and duration, chosen to illustrate that response modulation accounts for the qualitative features of reward dependen ...
... saccade task used by Kawagoe and colleagues (1998). This simulation demonstrates one specific instance of the generic properties of the model for particular values of input magnitudes and duration, chosen to illustrate that response modulation accounts for the qualitative features of reward dependen ...
Conductance-Based Model of the Voltage
... and is given by the Nernst equation. The extracellular Ca2⫹ concentration of the model cell takes 2 mM to match with our physiological experiments. Reversal potentials of other ionic currents were assumed as constants. The gating kinetics of the ionic conductances are governed by equations of the fo ...
... and is given by the Nernst equation. The extracellular Ca2⫹ concentration of the model cell takes 2 mM to match with our physiological experiments. Reversal potentials of other ionic currents were assumed as constants. The gating kinetics of the ionic conductances are governed by equations of the fo ...
Hippocampal mechanisms for the context-dependent retrieval of episodes 2005 Special issue
... allows region CA3 activity to represent temporal context of events, consistent with the evidence of context-dependent firing of neurons in region CA3 (Guzowski, Knierim, & Moser, 2004; Leutgeb, Leutgeb, Treves, Moser, & Moser, 2004), and for impairment of context-dependent behavior with selective CA ...
... allows region CA3 activity to represent temporal context of events, consistent with the evidence of context-dependent firing of neurons in region CA3 (Guzowski, Knierim, & Moser, 2004; Leutgeb, Leutgeb, Treves, Moser, & Moser, 2004), and for impairment of context-dependent behavior with selective CA ...
show - FACETS Project
... This report is dedicated to the study of nonlinear bidimensional neuron models, which from a mathematical point of view are hybrid dynamical systems, i.e. whose dynamics is defined by a continuous-time dynamical system modelling the subthreshold behavior of the neuron, coupled with a discrete dynami ...
... This report is dedicated to the study of nonlinear bidimensional neuron models, which from a mathematical point of view are hybrid dynamical systems, i.e. whose dynamics is defined by a continuous-time dynamical system modelling the subthreshold behavior of the neuron, coupled with a discrete dynami ...
Neural circuits underlying the generation of theta oscillations
... Limbic system Neuronal networks ...
... Limbic system Neuronal networks ...
Spontaneous firing patterns of identified spiny neurons in the rat
... in the firing patterns of both identified and unidentified neurons. The ranges of variability were similar in the two groups and both contained cells whose activity could be described as tonic or phasic from a cursory examination on the oscilloscope screen. When examined using interval histograms an ...
... in the firing patterns of both identified and unidentified neurons. The ranges of variability were similar in the two groups and both contained cells whose activity could be described as tonic or phasic from a cursory examination on the oscilloscope screen. When examined using interval histograms an ...
neural_networks
... Because these values are ordered, a vector can be called a pattern Any pattern can be expressed as a vector ...
... Because these values are ordered, a vector can be called a pattern Any pattern can be expressed as a vector ...
TESIS DOCTORAL Dynamics and Synchronization in Neuronal Models
... Chapter 2 investigates the role of noise acting on neurons. The phenomenon of stochastic resonance is characterized on an ensemble of neurons of the motor system. After the introduction of the appropriate model describing the neuron dynamics and the numerical integration details, stochastic resonanc ...
... Chapter 2 investigates the role of noise acting on neurons. The phenomenon of stochastic resonance is characterized on an ensemble of neurons of the motor system. After the introduction of the appropriate model describing the neuron dynamics and the numerical integration details, stochastic resonanc ...
Negatively-Correlated Firing - Department of Computer Science
... In neural systems (and more generally in all threshold systems), a centrally important fact is that a neuron which spikes will be on average more likely to have a positive noise component than a negative one (because positive noise components lead to an increased membrane potential, which in turn in ...
... In neural systems (and more generally in all threshold systems), a centrally important fact is that a neuron which spikes will be on average more likely to have a positive noise component than a negative one (because positive noise components lead to an increased membrane potential, which in turn in ...
PDF file - Izhikevich
... neurons, each making thousands of synaptic contacts with its neighbors. Given the complexity of the connectivity inherent in cortical anatomy, efforts to describe the pattern of electrical activity in exact detail within even a highly localized population of cortical neurons would be extremely diffi ...
... neurons, each making thousands of synaptic contacts with its neighbors. Given the complexity of the connectivity inherent in cortical anatomy, efforts to describe the pattern of electrical activity in exact detail within even a highly localized population of cortical neurons would be extremely diffi ...
An Integrate-and-fire Model of Prefrontal Cortex Neuronal Activity during Performance of Goal-directed
... tation of reward. This task involves the differential generation of Go versus NoGo responses to randomly presented visual cues. Recordings demonstrated that some neurons in the orbitofrontal cortex do indeed fire selectively for the transition from one specific state to another. Schultz et al. (2000) ...
... tation of reward. This task involves the differential generation of Go versus NoGo responses to randomly presented visual cues. Recordings demonstrated that some neurons in the orbitofrontal cortex do indeed fire selectively for the transition from one specific state to another. Schultz et al. (2000) ...
S-potentials precede and drive nearly all LGN spikes in a burst.
... nucleus (LGN) is often categorized into two modes: burst and tonic. The bursting mode has been shown in cats and guinea pigs to depend on activation of the low-threshold calcium current (IT). Characteristically, all spikes but the first one in a burst do not require additional synaptic input to occu ...
... nucleus (LGN) is often categorized into two modes: burst and tonic. The bursting mode has been shown in cats and guinea pigs to depend on activation of the low-threshold calcium current (IT). Characteristically, all spikes but the first one in a burst do not require additional synaptic input to occu ...
A Model of Surround Suppression Through Cortical Feedback
... All five V1 regions send feedforward projections to the V2 region. The feedforward projections originate from the V1 neurons and terminate on both excitatory and inhibitory neurons within the V2 region. The output weights extending from one V1 neuron take on a Gaussian pattern which is identical for ...
... All five V1 regions send feedforward projections to the V2 region. The feedforward projections originate from the V1 neurons and terminate on both excitatory and inhibitory neurons within the V2 region. The output weights extending from one V1 neuron take on a Gaussian pattern which is identical for ...