|
|
Family residence with two flats
Lánský, Petr ; Vokřínková, Lenka (referee) ; Fišarová, Zuzana (advisor)
This bachelor thesis “Family Residence with Two Flats“ is composed in a form of implementing project documentation and it contains all requisites according to the valid regulations. Suggested object is situated on a lot number 2394/8 in Holešov. It is a detached house designed in the Porotherm system. It is a two – storey building with a residential attic and without a cellar. The roof construction is gabled with an angle of 40 degrees. The building is set in a straight terrain. Disposition studies and seminar paper in a form of drawings of details are also parts of the thesis.
|
|
|
Sport Center in Holešov
Lánský, Petr ; Blažek, Petr (referee) ; Fišarová, Zuzana (advisor)
This bachelor thesis “Family Residence with Two Flats“ is composed in a form of implementing project documentation and it contains all requisites according to the valid regulations. It is a complex of two connected buildings. The first part is the base for athletes and spectators. The second part consists of a sports hall with the playing surface and bleachers for spectators. The first part of the building has 3 floors. The sports hall is roofed using trusses made of laminated wood. Part of this work is the study of dispositions specialization focused on technical equipment of buildings and wooden structures and seminar papers presented in the form of drawings details.
|
|
| |
|
| |
|
|
Information processes in neurons
Šanda, Pavel ; Lánský, Petr (advisor) ; Popelář, Jiří (referee) ; Pospíšil, Zdeněk (referee)
Neurons communicate by action potentials. This process can be described by very detailed biochemical models of neuronal membrane and its channels, or by simpler phenomenological models of membrane potential (integrate-and- fire models) or even by very abstract models when only time of spikes are considered. We took one particular description - stochastic leaky integrate-and-fire model - and compared it with recorded in-vivo intracellular activity of the neuron. We estimated parameters of this model, compared how the model simulation corresponds with a real neuron. It can be concluded that the data are generally consistent with the model. At a more abstract level of description, the spike trains are analyzed without considering exact membrane voltage and one asks how the external stimulus is encoded in the spike train emitted by neurons. There are many neuronal codes described in literature and we focused on the open problem of neural code responsible for spatial hearing in mammals. Several theories explaining the experimental findings have been proposed and we suggest a specific variant of so called slope-encoding model. Neuronal circuit mimick- ing auditory pathway up to the first binaural neuron was constructed and experimental results were reproduced. Finally, we estimated the minimal number of such...
|
|
|
Models of binaural hearing
Drápal, Marek ; Maršálek, Petr (advisor) ; Wünsch, Zdeněk (referee) ; Lánský, Petr (referee)
In this work is presented stochastic model of binaural hearing in context of another alternative models. According to latest experimental data on mammals, inhibition plays a role in interaural time difference recognition, which is a key for low frequency sound source localization. The outputs of experiments may lead to the conclusion that the binaural hearing works differently in mammals compared to birds. Nowadays there are a few theoretical works addressing this new phenomena, but all of them are relaying on a very precise inhibition timing, which was never proved as physiologically valid. On the other hand, models described in this work are based on the fact, that every neuron has a random delay when reacting to an excitation. If this time jitter is taken into account and combined with inhibitory signal, delay in the neuronal circuit and coincidence detection, then the output firing rate corresponds to the azimuth of the sound source. In this work it is shown, that such a neuronal circuits are giving the same output results compared to experimental data. The models are supported by analytical computations and numerical simulations including simulation of cochlear implant.
|
|
|
Information processes in neurons
Šanda, Pavel ; Lánský, Petr (advisor) ; Popelář, Jiří (referee) ; Pospíšil, Zdeněk (referee)
Neurons communicate by action potentials. This process can be described by very detailed biochemical models of neuronal membrane and its channels, or by simpler phenomenological models of membrane potential (integrate-and- fire models) or even by very abstract models when only time of spikes are considered. We took one particular description - stochastic leaky integrate-and-fire model - and compared it with recorded in-vivo intracellular activity of the neuron. We estimated parameters of this model, compared how the model simulation corresponds with a real neuron. It can be concluded that the data are generally consistent with the model. At a more abstract level of description, the spike trains are analyzed without considering exact membrane voltage and one asks how the external stimulus is encoded in the spike train emitted by neurons. There are many neuronal codes described in literature and we focused on the open problem of neural code responsible for spatial hearing in mammals. Several theories explaining the experimental findings have been proposed and we suggest a specific variant of so called slope-encoding model. Neuronal circuit mimick- ing auditory pathway up to the first binaural neuron was constructed and experimental results were reproduced. Finally, we estimated the minimal number of such...
|
|
|
Models of binaural hearing
Drápal, Marek ; Maršálek, Petr (advisor) ; Wünsch, Zdeněk (referee) ; Lánský, Petr (referee)
In this work is presented stochastic model of binaural hearing in context of another alternative models. According to latest experimental data on mammals, inhibition plays a role in interaural time difference recognition, which is a key for low frequency sound source localization. The outputs of experiments may lead to the conclusion that the binaural hearing works differently in mammals compared to birds. Nowadays there are a few theoretical works addressing this new phenomena, but all of them are relaying on a very precise inhibition timing, which was never proved as physiologically valid. On the other hand, models described in this work are based on the fact, that every neuron has a random delay when reacting to an excitation. If this time jitter is taken into account and combined with inhibitory signal, delay in the neuronal circuit and coincidence detection, then the output firing rate corresponds to the azimuth of the sound source. In this work it is shown, that such a neuronal circuits are giving the same output results compared to experimental data. The models are supported by analytical computations and numerical simulations including simulation of cochlear implant.
|
|
| |
|
| |
guest ::
