Wolfgang Maass

Wolfgang Maass

Technische Universität Graz

H-index: 76

Europe-Austria

About Wolfgang Maass

Wolfgang Maass, With an exceptional h-index of 76 and a recent h-index of 48 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Computational Neuroscience, Machine Learning, Computational Complexity Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

How can neuromorphic hardware attain brain-like functional capabilities?

Fast learning without synaptic plasticity in spiking neural networks

Local prediction-learning in high-dimensional spaces enables neural networks to plan

Brain inspired computing: A systematic survey and future trends

PREDICTION ERROR COMPUTATION IN CORTICAL NEURONS VIA COMPETITION BETWEEN BOTTOM-UP VISUAL INPUT AND RECURRENT INHIBITION

Data-based large-scale models provide a window into the organization of cortical computations

Competition between bottom-up visual input and internal inhibition generates error neurons in a model of the mouse primary visual cortex

Role of feature selectivity in visual perturbation responses

Wolfgang Maass Information

University

Technische Universität Graz

Position

Professor of Computer Science

Citations(all)

29312

Citations(since 2020)

11347

Cited By

23330

hIndex(all)

76

hIndex(since 2020)

48

i10Index(all)

207

i10Index(since 2020)

115

Email

University Profile Page

Technische Universität Graz

Wolfgang Maass Skills & Research Interests

Computational Neuroscience

Machine Learning

Computational Complexity Theory

Top articles of Wolfgang Maass

Title

Journal

Author(s)

Publication Date

How can neuromorphic hardware attain brain-like functional capabilities?

National Science Review

Wolfgang Maass

2024/5

Fast learning without synaptic plasticity in spiking neural networks

Scientific Reports

Anand Subramoney

Guillaume Bellec

Franz Scherr

Robert Legenstein

Wolfgang Maass

2024/4/12

Local prediction-learning in high-dimensional spaces enables neural networks to plan

Nature Communications

Christoph Stöckl

Yukun Yang

Wolfgang Maass

2024/3/15

Brain inspired computing: A systematic survey and future trends

Authorea Preprints

Guoqi Li

Lei Deng

Huajing Tang

Gang Pan

Yonghong Tian

...

2023/10/30

PREDICTION ERROR COMPUTATION IN CORTICAL NEURONS VIA COMPETITION BETWEEN BOTTOM-UP VISUAL INPUT AND RECURRENT INHIBITION

IBRO Neuroscience Reports

Javier Galván Fraile

Franz Scherr

José Ramasco Sukia

Anton Arkhipov

Wolfgang Maass

...

2023/10/1

Data-based large-scale models provide a window into the organization of cortical computations

bioRxiv

Guozhang Chen

Franz Scherr

Wolfgang Maass

2023/4/28

Competition between bottom-up visual input and internal inhibition generates error neurons in a model of the mouse primary visual cortex

bioRxiv

J Galván Fraile

Franz Scherr

José J Ramasco

Anton Arkhipov

Wolfgang Maass

...

2023/1/30

Role of feature selectivity in visual perturbation responses

Javier Galván Fraile

F Scherr

W Maass

José J Ramasco

Claudio R Mirasso

2022

A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing

science advances

Guozhang Chen

Franz Scherr

Wolfgang Maass

2022/11/2

2022 roadmap on neuromorphic computing and engineering

Neuromorphic Computing and Engineering

Dennis V Christensen

Regina Dittmann

Bernabe Linares-Barranco

Abu Sebastian

Manuel Le Gallo

...

2022/5/20

A long short-term memory for ai applications in spike-based neuromorphic hardware

Nature Machine Intelligence

Arjun Rao

Philipp Plank

Andreas Wild

Wolfgang Maass

2022/5

Current state and future directions for learning in biological recurrent neural networks: A perspective piece

Neurons, Behavior, Data analysis, and Theory

Roy Henha Eyono

Ellen Boven

Arna Ghosh

Joseph Pemberton

Franz Scherr

...

2022/4/27

Spike-based symbolic computations on bit strings and numbers

Neuro-Symbolic Artificial Intelligence: The State of the Art

P Hitzler

MK Sarker

2022/1/19

Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization

Mina Ameli

Philipp Aaron Becker

Katharina Lankers

Markus van Ackeren

Holger Bähring

...

2022/12/12

Analysis of visual processing capabilities and neural coding strategies of a detailed model for laminar cortical microcircuits in mouse V1

bioRxiv

Guozhang Chen

Franz Scherr

Wolfgang Maass

2021/12/7

on STORE-RECALL task.

Darjan Salaj

Anand Subramoney

Ceca Kraišnikovic

Guillaume Bellec

Robert Legenstein

...

2021/6/18

Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes

Nature Machine Intelligence

Christoph Stöckl

Wolfgang Maass

2021/3

Probabilistic skeletons endow brain-like neural networks with innate computing capabilities

bioRxiv

Christoph Stöckl

Dominik Lang

Wolfgang Maass

2021/1/1

Anatomical and neurophysiological data on primary visual cortex suffice for reproducing brain-like robust multiplexing of visual function

G Chen

F Scherr

W Maass

2021/12/7

Visualizing a joint future of neuroscience and neuromorphic engineering

Neuron

Friedemann Zenke

Sander M Bohté

Claudia Clopath

Iulia M Comşa

Julian Göltz

...

2021/2/17

See List of Professors in Wolfgang Maass University(Technische Universität Graz)

Wolfgang Maass FAQs

What is Wolfgang Maass's h-index at Technische Universität Graz?

The h-index of Wolfgang Maass has been 48 since 2020 and 76 in total.

What are Wolfgang Maass's top articles?

The articles with the titles of

How can neuromorphic hardware attain brain-like functional capabilities?

Fast learning without synaptic plasticity in spiking neural networks

Local prediction-learning in high-dimensional spaces enables neural networks to plan

Brain inspired computing: A systematic survey and future trends

PREDICTION ERROR COMPUTATION IN CORTICAL NEURONS VIA COMPETITION BETWEEN BOTTOM-UP VISUAL INPUT AND RECURRENT INHIBITION

Data-based large-scale models provide a window into the organization of cortical computations

Competition between bottom-up visual input and internal inhibition generates error neurons in a model of the mouse primary visual cortex

Role of feature selectivity in visual perturbation responses

...

are the top articles of Wolfgang Maass at Technische Universität Graz.

What are Wolfgang Maass's research interests?

The research interests of Wolfgang Maass are: Computational Neuroscience, Machine Learning, Computational Complexity Theory

What is Wolfgang Maass's total number of citations?

Wolfgang Maass has 29,312 citations in total.

What are the co-authors of Wolfgang Maass?

The co-authors of Wolfgang Maass are Christos H PAPADIMITRIOU, Nikos Logothetis, Henry Markram, Auke Ijspeert, Rolf Pfeifer, Dorit S. HOCHBAUM.

Co-Authors

H-index: 131
Christos H PAPADIMITRIOU

Christos H PAPADIMITRIOU

Columbia University in the City of New York

H-index: 122
Nikos Logothetis

Nikos Logothetis

Stanford University

H-index: 94
Henry Markram

Henry Markram

École Polytechnique Fédérale de Lausanne

H-index: 79
Auke Ijspeert

Auke Ijspeert

École Polytechnique Fédérale de Lausanne

H-index: 62
Rolf Pfeifer

Rolf Pfeifer

Universität Zürich

H-index: 54
Dorit S. HOCHBAUM

Dorit S. HOCHBAUM

University of California, Berkeley

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