[EN] DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or more compartments. Models can be specified by equations directly (similar to XPP or the Brian simulator) or by lists of predefined or custom model components. The higher-level specification supports arbitrarily complex population models and networks of interconnected populations. DynaSim also includes a large set of features that simplify exploring model dynamics over parameter spaces, running simulations in parallel using both multicore processors and high-performance computer clusters, ...
xxiv, 237 leaves :ill. ; 30 cm. Includes bibliographical references. University of Otago department:...
[EN] Organisms have different circuitries that allow converting signal molecule levels to changes in...
There are several well-known problems with conventional artificial neural networks (ANN), such as di...
[EN] Cognition involves using attended information, maintained in working memory (WM), to guide acti...
[EN] Oscillations are ubiquitous features of brain dynamics that undergo task-related changes in syn...
[EN] Synthetic gene circuits allow the behavior of living cells to be reprogrammed, and non-coding s...
[EN] Molecular docking is often used in computational chemistry to accelerate drug discovery at earl...
Signaling pathways are interconnected to regulatory circuits for sensing the environment and express...
[EN] Traceability Link Recovery (TLR) has been a topic of interest for many years within the softwar...
[EN] The development of accurate real-time models of the biomechanical behavior of different organs ...
The experiences induced by psychedelics share a wide variety of subjective features, related to the ...
© 2015 Folch-Fortuny et al. Open Access This article is distributed under the terms of the Creative ...
[EN] The recent success of biological engineering is due to a tremendous amount of research effort a...
Please note that this is a searchable PDF derived via optical character recognition (OCR) from the o...
Neuropsychiatric syndromes are highly prevalent in Alzheimer's disease (AD), but their neurobiology ...
xxiv, 237 leaves :ill. ; 30 cm. Includes bibliographical references. University of Otago department:...
[EN] Organisms have different circuitries that allow converting signal molecule levels to changes in...
There are several well-known problems with conventional artificial neural networks (ANN), such as di...
[EN] Cognition involves using attended information, maintained in working memory (WM), to guide acti...
[EN] Oscillations are ubiquitous features of brain dynamics that undergo task-related changes in syn...
[EN] Synthetic gene circuits allow the behavior of living cells to be reprogrammed, and non-coding s...
[EN] Molecular docking is often used in computational chemistry to accelerate drug discovery at earl...
Signaling pathways are interconnected to regulatory circuits for sensing the environment and express...
[EN] Traceability Link Recovery (TLR) has been a topic of interest for many years within the softwar...
[EN] The development of accurate real-time models of the biomechanical behavior of different organs ...
The experiences induced by psychedelics share a wide variety of subjective features, related to the ...
© 2015 Folch-Fortuny et al. Open Access This article is distributed under the terms of the Creative ...
[EN] The recent success of biological engineering is due to a tremendous amount of research effort a...
Please note that this is a searchable PDF derived via optical character recognition (OCR) from the o...
Neuropsychiatric syndromes are highly prevalent in Alzheimer's disease (AD), but their neurobiology ...
xxiv, 237 leaves :ill. ; 30 cm. Includes bibliographical references. University of Otago department:...
[EN] Organisms have different circuitries that allow converting signal molecule levels to changes in...
There are several well-known problems with conventional artificial neural networks (ANN), such as di...