AIMC Topic: Neurosciences

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A Shared Vision for Machine Learning in Neuroscience.

The Journal of neuroscience : the official journal of the Society for Neuroscience
With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data...

Branching into brains.

eLife
What can artificial intelligence learn from neuroscience, and vice versa?

Generative models for network neuroscience: prospects and promise.

Journal of the Royal Society, Interface
Network neuroscience is the emerging discipline concerned with investigating the complex patterns of interconnections found in neural systems, and identifying principles with which to understand them. Within this discipline, one particularly powerful...

Infrastructural intelligence: Contemporary entanglements between neuroscience and AI.

Progress in brain research
In this chapter, I reflect on contemporary entanglements between artificial intelligence and the neurosciences by tracing the development of Google's recent DeepMind algorithms back to their roots in neuroscientific studies of episodic memory and ima...

Recurrent neural networks as versatile tools of neuroscience research.

Current opinion in neurobiology
Recurrent neural networks (RNNs) are a class of computational models that are often used as a tool to explain neurobiological phenomena, considering anatomical, electrophysiological and computational constraints. RNNs can either be designed to implem...

Neuronify: An Educational Simulator for Neural Circuits.

eNeuro
Educational software (apps) can improve science education by providing an interactive way of learning about complicated topics that are hard to explain with text and static illustrations. However, few educational apps are available for simulation of ...