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Detection and analysis of polychronous groups emerging in spiking neural network models.
Šťastný, Bořek ; Brom, Cyril (advisor) ; Moudřík, Josef (referee)
How is information represented in real neural networks? Experimental results continue to provide evidence for presence of spiking patterns in network activity. The concept of polychronous groups attempts to explain these results by proposing that neurons group together to fire in non- synchronous but precise time-locked chains. Several methods for the detection of such groups have been proposed, however, they all employ extensive searching in network structure, which limits their usefulness. We present a new method by observing spiking dependencies in network activity to directly detect polychronous groups. Our method shows comparatively more efficient computation by trading off detection selectivity. The method allows for analysis of polychronous groups emerging in noisy networks. Our results support the existence of structure-forming properties of spontaneous activity in neural network.
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Localization of GABAB receptor in the mouse dorsal cochlear nucleus and auditory cortex under physiological and pathological conditions
Melichar, Adolf ; Králíková, Michaela (advisor) ; Malínský, Jan (referee)
GABAB receptors play an important role in regulation of neuronal excitability and stability of neural microcircuits. It is well known that dysregulation of slow GABAergic signalisation can lead to many pathological conditions (epilepsy, anxiety etc.). Current research indicates that the imbalance in the inhibitory transfer, caused by changes in the expression of GABABR in the auditory system could play an important role in the progression of tinnitus. The goal of the present thesis was to determine the distribution of the GABAB receptor and its auxiliary subunit KCTD12 in the mouse auditory cortex and the dorsal cochlear nucleus (DCN). Furthermore, a change in GABAB receptor localization in the DCN was observed in mice exposed to an acoustic stress. The GABAB receptor was expressed across the entire auditory cortex, both on the body and on the neuronal fibres. On the contrary, KCTD12 was found only in a particular subgroup of neurons that includes VIP (vasoactive intestinal peptide) and cholecystokinin positive interneurons., GABABR and KCTD12 protein were found in all layers and in all studied cells types (fusiform, cartwheel and stellate) of the DCN. Acoustic trauma of the WT mice resulted in GABAB receptor internalization specifically in fusiform cells that are the main projection neurons of the...
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The role of inhibitory interneurons in encoding of complex sounds by the auditory cortex of mouse
Tomáška, Filip ; Tureček, Rostislav (advisor) ; Kelemen, Eduard (referee)
Recent findings suggest, that perception of acoustic stimuli in the mouse auditory cortex relies on categorization of object-based representations. Local neuronal populations in L2/3 of the mouse auditory cortex reportedly exhibit a limited number (1-3) of stable modes of response, each possibly evoked by multiple complex sounds of variable acoustic features. Stimulation using linear intensity mixing of sounds evoking different response modes revealed an attractor-like dynamic of the underlying representation. These modes of response were hypothesized to represent the neural correlate of perceptual categorization. We have developed an experimental protocol enabling chronic two-photon imaging of the previously described population coding under awake conditions. Using this protocol we acquired data suggesting that the pattern of population activity underlying a mode of response, is stable during a week-long timeframe. We have also recorded the neural activity of a local subpopulation of somatostatin-positive inhibitory interneurons (SST+ INs) during abrupt changes in cortical representation. Our preliminary results suggest that local SST+ INs exhibit maximal firing when the neural correlate of a mode of response is exhibited by the surrounding population of principal cells. In addition, we observed a...
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Detection and analysis of polychronous groups emerging in spiking neural network models.
Šťastný, Bořek ; Brom, Cyril (advisor) ; Moudřík, Josef (referee)
How is information represented in real neural networks? Experimental results continue to provide evidence for presence of spiking patterns in network activity. The concept of polychronous groups attempts to explain these results by proposing that neurons group together to fire in non- synchronous but precise time-locked chains. Several methods for the detection of such groups have been proposed, however, they all employ extensive searching in network structure, which limits their usefulness. We present a new method by observing spiking dependencies in network activity to directly detect polychronous groups. Our method shows comparatively more efficient computation by trading off detection selectivity. The method allows for analysis of polychronous groups emerging in noisy networks. Our results support the existence of structure-forming properties of spontaneous activity in neural network.
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Software tool for modelling coding and processing of information in auditory cortex of mice
Popelová, Markéta ; Brom, Cyril (advisor) ; Maršálek, Petr (referee)
Autor Markéta Popelová Název práce Software tool for modelling coding and processing of information in auditory cortex of mice Abstrakt Porozumění zpracovávání a kódování informací ve sluchové k·ře (AC) je stále ne- dostatečné. Z několika r·zných d·vod· by bylo užitečné mít výpočetní model AC, například z d·vodu vysvětlení, či ujasnění procesu kódování informací v AC. Prv- ním cílem této práce bylo vytvořit softwarový nástroj (simulátor SUSNOMAC), zaměřený na modelování AC. Druhým cílem bylo navrhnout výpočetní model AC s následujícími vlastnostmi: Izhikevich·v model neuronu, dlouhodobá plasticita ve formě Spike-timing-dependent plasticity (STDP), šestivrstvá architektura, pa- rametrizované typy neuron·, hustota neuron· a pravděpodobnost vzniku synapsí. Navržený model byl testován v desítkách experiment·, s r·znými sadami para- metr· a v r·zných velikostech (až 100 000 neuron· s takřka 21 milióny synapsí). Experimenty byly analyzovány a jejich výsledky srovnány s pozorováním skutečné AC. V práci popisujeme a analyzujeme několik zajímavých pozorování o aktivitě modelované sítě a vzniku tonotopického uspořádání AC. 1
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