Tomas BartaOkinawa Institute of Science and Technology | OIST
Tomas Barta
Doctor of Philosophy
About
9
Publications
636
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33
Citations
Additional affiliations
October 2018 - present
September 2015 - September 2018
Datatree s.r.o.
Position
- Analyst
November 2018 - April 2020
Education
January 2019 - June 2022
October 2018 - June 2022
October 2016 - June 2018
Publications
Publications (9)
Pheromones convey rich ethological information and guide insects’ search behavior. Insects navigating in turbulent environments are tasked with the challenge of coding the temporal structure of an odor plume, obliging recognition of the onset and offset of whiffs of odor. The coding mechanisms that shape odor offset recognition remain elusive. We d...
Shared input to a population of neurons induces noise correlations, which can decrease the information carried by a population activity. Inhibitory feedback in recurrent neural networks can reduce the noise correlations and thus increase the information carried by the population activity. However, the activity of inhibitory neurons is costly. This...
Shared input to a population of neurons induces noise correlations, which decreases the information carried by a population activity. Inhibitory feedback in recurrent neural networks can reduce the noise correlations and thus increase the information carried by the averaged population activity. However, the activity of inhibitory neurons is costly....
Flying insects encounter turbulent environments, where chemotaxis along a concentration gradient makes little sense. Detection of the onset and offset of discrete odor pulses is then expected to become crucial for navigation, but it is not well understood how the olfactory system encodes the offset of the odor pulse. Previous works indicated that t...
Strong inhibitory input to neurons, which occurs in balanced states of neural networks, increases synaptic current fluctuations. This has led to the assumption that inhibition contributes to the high spike-firing irregularity observed in vivo. We used single compartment neuronal models with time-correlated (due to synaptic filtering) and state-depe...
Strong inhibitory input to neurons, which occurs in balanced states of neural networks, increases synaptic current fluctuations. This has led to the assumption that inhibition contributes to the high spike-firing irregularity observed in vivo. We used single compartment neuronal models with time-correlated (due to synaptic filtering) and state-depe...
In this paper we investigate the rate coding capabilities of neurons whose input signal are alterations of the base state of balanced inhibitory and excitatory synaptic currents. We consider different regimes of excitation-inhibition relationship and an established conductance-based leaky integrator model with adaptive threshold and parameter sets...
We investigate subsurface moat flow system around symmetrical sunspots of
McIntosh type H and compare it to the flow system within supergranular cells.
Representatives of both types of flows are constructed by means of statistical
averaging of flow maps obtained by time--distance helioseismic inversions. We
find that moat flows around H-type sunspo...