| 1. |
- Djurfeldt, Mikael, 1967-, et al.
(författare)
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See-A framework for simulation of biologically detailed and artificial neural networks and systems
- 1999
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Ingår i: Neurocomputing. - 0925-2312 .- 1872-8286. ; 26-27, s. 997-1003
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Tidskriftsartikel (refereegranskat)abstract
- See is a software framework for simulation of biologically detailed and artficial neural networks and systems. It includes a general purpose scripting language, based on Scheme,which also can be used interactively, while the basic framework is written in C++. Models can be built on the Scheme level from `simulation objectsa, each representing a population ofneurons, a projection, etc. The simulator provides a flexible and efficient protocol for data transfer between such objects. See contains a user interface to the parallelized, platformindependent, library SPLIT intended for biologically detailed modeling of large-scale networks and is easy to extend with new user code, both on the C++ and Scheme levels.
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| 2. |
- Hellgren Kotaleski, Jeanette, et al.
(författare)
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Control of burst proportion and frequency range by drive-dependent modulation of adaptation
- 1999
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Ingår i: Neurocomputing. - 0925-2312 .- 1872-8286. ; 26-27, s. 185-191
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Tidskriftsartikel (refereegranskat)abstract
- Factors controlling burst proportion in oscillatory networks are analyzed. This question is motivated by the lamprey swimming motor pattern which, independently on burst frequency, is characterized by a constant burst proportion. We investigate the effect of active modulation of the relative influence of a slower and faster adaptation controlling the depolarized phase. Using Morris–Lecar oscillators, NMDA-dependent oscillations or a network of mutually excitatory neurons, it is shown that the burst proportion can be controlled by increasing what corresponds to adaptation. Oscillations occur over an extended range of background stimulation values, leading to a higher maximal frequency.
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| 3. |
- Tegnér, J, et al.
(författare)
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The synaptic NMDA component desynchronizes neural bursters
- 1999
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Ingår i: Neurocomputing. - 0925-2312 .- 1872-8286. ; 26-27, s. 557-563
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Tidskriftsartikel (refereegranskat)abstract
- The influence of excitatory and inhibitory coupling on synchronization depends on the temporal dynamics of the synapse. Slow excitation is desynchronizing whereas fast excitation tends to synchronize neuronal firing. Excitation via glutamatergic synapses, however, activates both ionotropic AMPA/kainate and NMDA receptors. Here we analyze the role of the synaptic NMDA component. We show that slowly bursting neurons desynchronize when connected by symmetrical NMDA synapses whereas they tend to synchronize when coupled with symmetrical AMPA/kainate synapses. This suggests that the effect on synchronization of an excitatory synapse also depends on the relative proportion of NMDA and AMPA/kainate synapses.
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