In computational neuroscience, as in science in general, it is essential that results be testable in depth by other laboratories using the same methods. The obstacles to replicating and testing published computational models are considerable. For example, most papers do not include a complete model specification, and typographical errors are common. In principle one should be able to determine the model specification from the authors' computer code, but there are many reasons why this seldom works out in practice--in the interval between completion of the work and publication of the article, hard drives crash, archived copies are lost, key authors move to new positions leaving noone in the lab who can identify the files that were actually used. Thus there is a critical need for a database where published models can be archived so that they can be openly accessed, downloaded, and tested.
Provides biophysical model of the olfactory bulb (OB) network. 2D model of olfactory bulb gamma oscillations is based on a two-layer model of cholinergic neuromodulation in the OB. It supports the diverse phenomena observed in OB neurophysiological recordings. This dataset contains the following phenomena: (1) patterned spiking activity in mitral and projecting tufted cells (MCs) and granule cells (GCs); (2) tolerance to a wide range of afferent MC excitation levels; and (3) tolerance for substantial changes in MC-GC synaptic weights, between other.
Allows evaluation of a wide range of state-of-the-art deep artificial neural networks (ANNs). Brain-Score hosts neural and behavioral benchmarks, and each benchmark refers to the application of a metric to a particular dataset. The online platform offers users with the possibility to obtain all available brain data, submit new data and score their models on standardized benchmarks.
Assists users in the simulations of neuronal and network compartmental models. SimToolDB provides an accessible location for storing and retrieving applications. The provided simulation tools can be coded in any language for any environment. All codes can be viewed before downloading or auto-launching. Users can filter tools by concept, tools name or simulation environment.
Congregates computational neuroscience models in any simulator format or programming language. ModelDB provides a free platform, both public and private, which allows users to submit the source code form associated with a published model. The repository includes over 1000 models displayed into more than 130 topics. The database includes several functionalities, such as ModelView to examine run-time morphology, channel types, and values of parameters, or an advanced search mode allowing searching according to sixteen parameters.
Allows visualization, simulation, dissemination and collaborative development of standardized models of neurons and circuits. Open Source Brain is an open source web-based resource that stores published neuronal and circuit models from multiple brain regions including the neocortex, cerebellum and hippocampus. It also provides tools to visualize, analyze and simulate models through standard web browsers. Registered users can manage multiple simulations and perform analyses on them.
Compiles data sets in neurosciences. CRCNS intends to provide an access to shared information in a manner that scales up to large data sets. It hosts experimental data that can be useful for testing computational models of the brain and analysis methods. This repository offers community- and market-oriented mechanisms that aim to identify relevant resources for the field and to solicit feedback from concerned communities.
Provides automated large-scale classification of ion channel models. ICG is an interactive database for the categorization of new and existing models and experimental recordings. It allows the comparison of channel models in different views: a similarity view focusing on the channel’s response kinetic scores, a hierarchical tree view focusing on genealogical data, an XY view to sort data by a given set of metadata dimensions, and a circular cluster view.