Software tool for modelling coding and processing of information in auditory cortex of mice
| Thesis title in Czech: | Software tool for modelling coding and processing of information in auditory cortex of mice |
|---|---|
| Thesis title in English: | Software tool for modelling coding and processing of information in auditory cortex of mice |
| Key words: | auditory cortex, Izhikevich neurons, spiking neurons |
| English key words: | auditory cortex, Izhikevich neurons, spiking neurons |
| Academic year of topic announcement: | 2012/2013 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | doc. Mgr. Cyril Brom, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 07.11.2012 |
| Date of assignment: | 07.11.2012 |
| Confirmed by Study dept. on: | 21.11.2012 |
| Date and time of defence: | 15.05.2013 10:00 |
| Date of electronic submission: | 12.04.2013 |
| Date of submission of printed version: | 12.04.2013 |
| Date of proceeded defence: | 15.05.2013 |
| Opponents: | prof. RNDr. MUDr. Petr Maršálek, Ph.D. |
| Guidelines |
| 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. |
| References |
| 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. |
| Preliminary scope of work in English |
| 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. |