Software tool for modelling coding and processing of information in auditory cortex of mice
| Název práce v češtině: | Software tool for modelling coding and processing of information in auditory cortex of mice |
|---|---|
| Název v anglickém jazyce: | Software tool for modelling coding and processing of information in auditory cortex of mice |
| Klíčová slova: | auditory cortex, Izhikevich neurons, spiking neurons |
| Klíčová slova anglicky: | auditory cortex, Izhikevich neurons, spiking neurons |
| Akademický rok vypsání: | 2012/2013 |
| Typ práce: | diplomová práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwaru a výuky informatiky (32-KSVI) |
| Vedoucí / školitel: | doc. Mgr. Cyril Brom, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 07.11.2012 |
| Datum zadání: | 07.11.2012 |
| Datum potvrzení stud. oddělením: | 21.11.2012 |
| Datum a čas obhajoby: | 15.05.2013 10:00 |
| Datum odevzdání elektronické podoby: | 12.04.2013 |
| Datum odevzdání tištěné podoby: | 12.04.2013 |
| Datum proběhlé obhajoby: | 15.05.2013 |
| Oponenti: | prof. RNDr. MUDr. Petr Maršálek, Ph.D. |
| Zásady pro vypracování |
| A lot is known about the electrophysiological and morphological characteristics of neurons in auditory cortex. However, very little is known about how such neurons work together in large networks, i.e., how is the information in such networks processed and coded.
The aim of this thesis is to develop a software tool for modelling auditory cortex of mice. It will enable creating models with basic architectural features of the real cortex of mammals (6 layers, quantity and distribution of neurons in layers, representation of inhibitory / excitatory neurons, synapse probability, etc.) and the specific settings will be configurable. The Izhikevich model of neuron will be used as the basic unit of the network. The neural network will be continuously stimulated by signals representing audio information. Plasticity model will be provided by Spike-timing-dependent plasticity (STDP), or strengthening active synapses after hearing certain selected stimuli. To evaluate the software tool, the thesis will include one model of the mouse auditory cortex with parameters set up according to the current biological literature. In the created model, it will be shown how the auditory cortex can develop and specialize in the efficient coding of relevant stimuli. Several experiments on the model will be performed to examine how different types of input stimuli affect the formation of the observed architecture of auditory cortex. The results of these experiments could be used in the future for formulating hypotheses which could be tested in vivo. |
| Seznam odborné literatury |
| Izhikevich, E. M. (2003). Simple model of spiking neurons. Neural Networks, IEEE Transactions on, 14(6), 1569-1572.
Izhikevich, E. M. (2006). Polychronization: Computation with spikes. Neural computation, 18(2), 245-282. Izhikevich, E. M. (2006). Dynamical systems in neuroscience: the geometry of excitability and bursting. MIT press. DeFelipe, J. (2011). The evolution of the brain, the human nature of cortical circuits, and intellectual creativity. Frontiers in Neuroanatomy, 5. Dayan, P., & Abbott, L. F. (2001). Theoretical neuroscience (Vol. 31). Cambridge, MA: MIT press. Bathellier, B., Ushakova, L., & Rumpel, S. (2012). Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds. Neuron, 76(2), 435-449. |
| Předběžná náplň práce v anglickém jazyce |
| A lot is known about the electrophysiological and morphological characteristics of neurons in auditory cortex. However, very little is known about how such neurons work together in large networks, i.e., how is the information in such networks processed and coded.
The aim of this thesis is to develop a software tool for modelling auditory cortex of mice. It will enable creating models with basic architectural features of the real cortex of mammals (6 layers, quantity and distribution of neurons in layers, representation of inhibitory / excitatory neurons, synapse probability, etc.) and the specific settings will be configurable. The Izhikevich model of neuron will be used as the basic unit of the network. The neural network will be continuously stimulated by signals representing audio information. Plasticity model will be provided by Spike-timing-dependent plasticity (STDP), or strengthening active synapses after hearing certain selected stimuli. To evaluate the software tool, the thesis will include one model of the mouse auditory cortex with parameters set up according to the current biological literature. In the created model, it will be shown how the auditory cortex can develop and specialize in the efficient coding of relevant stimuli. Several experiments on the model will be performed to examine how different types of input stimuli affect the formation of the observed architecture of auditory cortex. The results of these experiments could be used in the future for formulating hypotheses which could be tested in vivo. |