Browsing by Subject "Neurons"
Now showing items 1-20 of 21
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Behavioral plasticity through the modulation of switch neurons
(2016)A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by ...
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A Biophysical Model of Endocannabinoid-Mediated Short Term Depression in Hippocampal Inhibition
(2013)Memories are believed to be represented in the synaptic pathways of vastly interconnected networks of neurons. The plasticity of synapses, that is, their strengthening and weakening depending on neuronal activity, is ...
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Computational modeling of visual selective attention based on correlation and synchronization of neural activity
(2009)Within the broad area of computational intelligence, it is of great importance to develop new computational models of human behaviour aspects. In this report we look into the recently suggested theory that neural synchronization ...
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Distinguishing the causes of firing with themembrane potential slope
(2012)In this letter, we aim to measure the relative contribution of coincidence detection and temporal integration to the firing of spikes of a simple neuron model. To this end, we develop a method to infer the degree of synchrony ...
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Does high firing irregularity enhance learning?
(2011)In this note, we demonstrate that the high firing irregularity produced by the leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the ...
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Editorial
(2015)
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Identification, Distribution and Physiological Activity of Three Novel Neuropeptides of Lymnaea: FLRlamide and pQFYRlamide Encoded by the FMRFamide Gene, and a Related Peptide
(1995)We are interested in analysing the detailed modulation of defined neuronal systems by multiple neuropeptides encoded in the FMRFamide locus of the snail Lymnaea. Cloning of the FMRFamide gene has predicted the existence ...
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Integrator or coincidence detector: A novel measure based on the discrete reverse correlation to determine a Neuron's operational mode
(2016)In this letter, we propose a definition of the operational mode of a neuron, that is, whether a neuron integrates over its input or detects coincidences. We complete the range of possible operational modes by a new mode ...
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KIF2β, a new kinesin superfamily protein in non-neuronal cells, is associated with lysosomes and may be implicated in their centrifugal translocation
(1998)Lysosomes concentrate juxtanuclearly in the region around the microtubule-organizing center by interaction with microtubules. Different experimental and physiological conditions can induce these organelles to move to the ...
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Conference Object
Learning laws exponential error convergence for recurrent neural networks
(Publ by IEEE, 1993)In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...
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Measuring input synchrony in the Ornstein-Uhlenbeck neuronal model through input parameter estimation
(2013)We present a method of estimating the input parameters and through them, the input synchrony, of a stochastic leaky integrate-and-fire neuronal model based on the Ornstein-Uhlenbeck process when it is driven by time-dependent ...
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Multiagent reinforcement learning: Spiking and nonspiking agents in the Iterated Prisoner's Dilemma
(2011)This paper investigates multiagent reinforcement learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...
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Near Poisson-type firing produced by concurrent excitation and inhibition
(2000)The effect of inhibition on the firing variability is examined in this paper using the biologically-inspired temporal noisy-leaky integrator (TNLI) neuron model. The TNLI incorporates hyperpolarising inhibition with negative ...
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Neural network controlling feeding in Lymnaea stagnalis: Immunocytochemical localization of myomodulin, small cardioactive peptide, buccalin, and FMRFamide‐ related peptides
(1994)This paper investigates the distribution of four classes of neuropeptides, myomodulin, small cardioactive peptide (SCP), buccalin, and FMRFamide, in central neurons forming the network that underlies feeding behavior in ...
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Overexpression of the m4 and mα genes of the E(spl)-Complex antagonizes Notch mediated lateral inhibition
(1999)Intercellular signalling mediated by Notch proteins is crucial to many cell fate decisions in metazoans. Its profound effects on cell fate and proliferation require that a complex set of responses involving positive and ...
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Processing of the FMRFamide Precursor Protein in the Snail Lymnaea stagnalis: Characterization and Neuronal Localization of a Novel Peptide, ‘SEEPLY’
(1993)In the pulmonate snail Lymnaea stagnalis, FMRFamide‐like neuropeptides are encoded by a multi‐exon genomic locus which is subject to regulation at the level of mRNA splicing. We aim to understand the post‐translational ...
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A review on the stochastic firing behaviour of real neurons and how it can be modelled
(1995)The types of spike trains recorded in real neurons from different parts of the brain, can either be completely random or bursty. Certainly, at very, high firing rates regular spike trains are observed. This paper examines ...
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Self-control with spiking and non-spiking neural networks playing games
(2010)Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
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A spiking neuron model: Applications and learning
(2002)This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational ...