AI Medical Compendium Journal:
Current opinion in neurobiology

Showing 11 to 20 of 34 articles

Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity.

Current opinion in neurobiology
The ongoing exponential rise in recording capacity calls for new approaches for analysing and interpreting neural data. Effective dimensionality has emerged as an important property of neural activity across populations of neurons, yet different stud...

From synapse to network: models of information storage and retrieval in neural circuits.

Current opinion in neurobiology
The mechanisms of information storage and retrieval in brain circuits are still the subject of debate. It is widely believed that information is stored at least in part through changes in synaptic connectivity in networks that encode this information...

Measuring and modeling the motor system with machine learning.

Current opinion in neurobiology
The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already elegantly incorporates theory and engineering principles to guide experime...

Drawing inspiration from biological dendrites to empower artificial neural networks.

Current opinion in neurobiology
This article highlights specific features of biological neurons and their dendritic trees, whose adoption may help advance artificial neural networks used in various machine learning applications. Advancements could take the form of increased computa...

Going in circles is the way forward: the role of recurrence in visual inference.

Current opinion in neurobiology
Biological visual systems exhibit abundant recurrent connectivity. State-of-the-art neural network models for visual recognition, by contrast, rely heavily or exclusively on feedforward computation. Any finite-time recurrent neural network (RNN) can ...

Deep learning tools for the measurement of animal behavior in neuroscience.

Current opinion in neurobiology
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capt...

Harnessing behavioral diversity to understand neural computations for cognition.

Current opinion in neurobiology
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring the computations they perform and understanding how these give rise to behavior. Here, we review emerging conceptual and technological advances that beg...

Decoding and encoding (de)mixed population responses.

Current opinion in neurobiology
A central tenet of neuroscience is that the brain works through large populations of interacting neurons. With recent advances in recording techniques, the inner working of these populations has come into full view. Analyzing the resulting large-scal...

Deep neural network models of sensory systems: windows onto the role of task constraints.

Current opinion in neurobiology
Sensory neuroscience aims to build models that predict neural responses and perceptual behaviors, and that provide insight into the principles that give rise to them. For decades, artificial neural networks trained to perform perceptual tasks have at...

Towards the neural population doctrine.

Current opinion in neurobiology
Across neuroscience, large-scale data recording and population-level analysis methods have experienced explosive growth. While the underlying hardware and computational techniques have been well reviewed, we focus here on the novel science that these...