Publications related to Place cell

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Armando Romani, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Luca Leonardo Bologna, Sàra Sàray, Shailesh Appukuttan

Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophys ...

PUBLIC LIBRARY SCIENCE2021

Population receptive field size in (un)crowding: to isolate or to combine?

Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska

Traditional models posit that visual processing is local and feedforward. In this vein, crowding is explained to be the result of pooling of target and flanker features in early visual areas. Specifically, it has been suggested that when the target and fla ...

SAGE Publishing2021

Perceptual decisions under stable visual input: absence of serial dependence and the build-up of adaptation

Michael Herzog, David Pascucci, Alice Biryukov, Gizay Ceylan

In serial dependence (SD), perceptual decisions are biased toward stimuli seen in the recent past. It is believed that SD originates from a perceptual prior that the world is stable and stimuli are correlated in time. Often, however, SD is observed in cond ...

2021

Perceived educational usefulness of a virtual-reality work situation depends on the spatial human-environment relation

Pierre Dillenbourg, Kevin Gonyop Kim, Martin Dobricki

Virtual reality (VR) may be useful for situating school-based vocational education in work-life by simulating a work situation such that learners viewing this VR work situation are located inside it. The reason for this assumption is that VR can fully spat ...

2021

The role of population receptive field size and recurrent processing in learning to “de-crowd”

Michael Herzog, Bogdan Draganski, Ayberk Ozkirli, Maya Anna Jastrzebowska

In crowding, the perception of a target is impeded by surrounding clutter. While traditional models are feedforward and local, there is increasing behavioral and neural evidence for a critical role of recurrent processing across the visual hierarchy in cro ...

SAGE Publishing2021

Data-driven integration of hippocampal CA1 synaptic physiology in silico

Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, Armando Romani, András Ecker, Michele Migliore, Szabolcs Kali, Sàra Sàray, Audrey Mercer

The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied in recent decades. Yet, the resulting knowledge remains disparate and difficult to reconcile. Here, we present a data-driven approach to integrat ...

2020

Perception of Auditory Distance in Normal-Hearing and Moderate-to-Profound Hearing-Impaired Listeners

Hervé Lissek, Gilles André Courtois, Vincent Pierre Olivier Grimaldi

The auditory system allows the estimation of the distance to sound-emitting objects using multiple spatial cues. In virtual acoustics over headphones, a prerequisite to render auditory distance impression is sound externalization, which denotes the percept ...

2019

Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain

Michaël Unser, Daniel Andreas Schmitter

We provide a generic framework to learn shape dictionaries of landmark-based curves that are defined in the continuous domain. We first present an unbiased alignment method that involves the construction of a mean shape as well as training sets whose eleme ...

2018

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Place cell

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Population receptive field size in (un)crowding: to isolate or to combine?

Perceptual decisions under stable visual input: absence of serial dependence and the build-up of adaptation

Estimating quality of life dimensions from urban spatial pattern metrics

Perceived educational usefulness of a virtual-reality work situation depends on the spatial human-environment relation

The role of population receptive field size and recurrent processing in learning to “de-crowd”

Data-driven integration of hippocampal CA1 synaptic physiology in silico

Perception of Auditory Distance in Normal-Hearing and Moderate-to-Profound Hearing-Impaired Listeners

Neuronal morphologies: the shapes of thoughts

Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain

Graph Chatbot

Chat with Graph Search

Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain

Population receptive field size in (un)crowding: to isolate or to combine?

Neuronal morphologies: the shapes of thoughts

Data-driven integration of hippocampal CA1 synaptic physiology in silico

Perceived educational usefulness of a virtual-reality work situation depends on the spatial human-environment relation

Perceptual decisions under stable visual input: absence of serial dependence and the build-up of adaptation

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

The role of population receptive field size and recurrent processing in learning to “de-crowd”

Estimating quality of life dimensions from urban spatial pattern metrics

Perception of Auditory Distance in Normal-Hearing and Moderate-to-Profound Hearing-Impaired Listeners