Brain-Scales

Modelling the dynamics of cognitive processes: from the Bayesian brain to particles
See a followup in Perrinet et al, 2012
2016-07-07
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Testing the odds of inherent vs. observed overdispersion in neural spike counts
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at …
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A dynamic model for decoding direction and orientation in macaque primary visual cortex
Natural scenes generally contain objects in motion. The local orientation of their contours and the direction of motion are two …
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A dynamic model for decoding direction and orientation in macaque primary visual cortex
Natural scenes generally contain objects in motion. The local orientation of their contours and the direction of motion are two …
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Introduction
This is the introductory chapter of the book, which serves as a comprehensive but rigorous reference in the area of biologically …
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Sparse Models for Computer Vision
The representation of images in the brain is known to be sparse. That is, as neural activity is recorded in a visual area, for instance …
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Sparse Models for Computer Vision
Motion-based prediction with neuromorphic hardware
We stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living …
2015-10-07
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Motion-based prediction with neuromorphic hardware
Biologically Inspired Computer Vision
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and …
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Biologically Inspired Computer Vision
Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences
Oriented edges in images of natural scenes tend to be aligned in co-linear or co-circular arrangements, with lines and smooth curves …
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On overdispersion in neuronal evoked activity
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at …
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The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task
Under natural viewing conditions, large eye movements are interspace by small eye movements (microsaccade). Recent works have shown …
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Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
As it is confronted to inherent neural delays, how does the visual system create a coherent representation of a rapidly changing …
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WP5 - Demo 1.3 : Spiking model of motion-based prediction
The question how the visual system is able to create a coherent representation of a rapidly changing environment in the presence of …
2014-03-20
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Axonal delays and on-time control of eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
2014-01-10
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A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise
see a follow-up in this publication
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A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise
see a follow-up in this publication
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Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps
Together with Bernhard Kaplan, we talked about how we aim at “compiling” a predictive motion-based approach as a spiking neural networks and then as a parallel wafer systems in the BrainscaleS project (Demo 1, Task4).
2013-11-26
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Edge co-occurrences and categorizing natural images
See a followup in Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Cite DOI Code URL HAL
2013-07-05
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Why methods and tools are the key to artificial brain-like systems
This session aims at presenting new ideas that emerged during the first years of BrainScaleS. Indeed, the collaborations that were …
2013-03-21
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Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception
The visual system does not process information instantaneously, but rather integrates over time. Integration occurs both for stationary …
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Apparent motion in V1 - Probabilistic approaches
2012-03-23
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MotionClouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception
2012-03-22
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Grabbing, tracking and sniffing as models for motion detection and eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
2012-01-27
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Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
2012-01-24
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Motion-based prediction is sufficient to solve the aperture problem
In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …
2012-01-12
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Complex dynamics in recurrent cortical networks based on spatially realistic connectivities
Most studies on the dynamics of recurrent cortical networks are either based on purely random wiring or neighborhood couplings. …
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Complex dynamics in recurrent cortical networks based on spatially realistic connectivities
Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps
2011-10-05
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Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
2011-09-28
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Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
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NeuralEnsemble: Towards a meta-environment for network modeling and data analysis
NeuralEnsemble (http://neuralensemble.org) is a multilateral effort to coordinate and organise neuroscience software development …
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