Search for dissertations about: "spike timing"

Showing result 1 - 5 of 6 swedish dissertations containing the words spike timing.

  2. 1. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Author : Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayes rule; synaptic plasticity and memory modeling; intrinsic excitability; naïve Bayes classifier; spiking neural networks; Hebbian learning; neuromorphic engineering; reinforcement learning; temporal sequence learning; attractor network; Computer Science; Datalogi;

    Abstract : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. READ MORE

  4. 2. Neocortical layer 2/3 microcircuits

    Author : Carl Holmgren; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Neocortical microcircuit; layer 2 3; pyramidal cell; FSN interneuron; retrograde signaling; VGLUT3; spike-timing dependent plasticity; LTP; LTD.;

    Abstract : Pairs of interconnected neurons form elementary information processing units within neocortical microcircuits. Pyramidal cells within these microcircuits receive synaptic input, both from their connected partners, and from more distant cortical and sub-cortical regions. Consequently, they require a means to identify relevant synaptic signals. READ MORE

  5. 3. Synaptic plasticity in local networks of neocortical layer 2/3

    Author : Misha Zilberter; Karolinska Institutet; Karolinska Institutet; []
    Keywords : Neocortical microcircuit; layer 2 3; pyramidal cell; spike timing- dependent plasticity; LTP; LTD; FSN interneuron; retrograde signalling; SAT2;

    Abstract : The neocortex is a hierarchal organ in which information processing takes on place on many levels, from subcellular signalling all the way to neural networks. Neocortical local neuronal networks (microcircuits), composed of interconnected neurons, form elementary information processing units within the cortex. READ MORE

  6. 4. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems

    Author : Mattias Nilsson; Fredrik Sandin; Foteini Liwicki; Jerker Delsing; Chiara Bartolozzi; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neuromorphic computing; Mixed-signal; Low-power; Non-von Neumann; Spatiotemporal pattern recognition; System integration; Cyber-Physical Systems; Cyberfysiska system;

    Abstract : Mixed-signal neuromorphic processors have brain-like organization and device physics optimized for emulation of spiking neural networks (SNNs), and offer an energy-efficient alternative for implementing artificial intelligence in applications where deep learning based on conventional digital computing is unfeasible or unsustainable. However, efficient use of such hardware requires appropriate configuration of its inhomogeneous, analog neurosynaptic circuits, with methods for sparse, spike-timing-based information encoding and processing. READ MORE

  7. 5. Non-linear synaptic integration on dendrites of striatal medium-spiny neuron : a computational study

    Author : Kai Du; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : Striatum is the main input nucleus of basal ganglia. Medium-spiny neurons (MSNs), the principal neurons of the striatum, receive convergent excitatory inputs from cortex and thalamus, thus “gate” the information flow to the basal ganglia. READ MORE