Malte J. Rasch

发表

Training large-scale ANNs on simulated resistive crossbar arrays pdf

Tayfun Gokmen, Wilfried Haensch, Malte J. Rasch, 2019, ArXiv.

Nonlinear multiplicative dendritic integration in neuron and network models

Si Wu, Yuanqing Li, Malte J. Rasch, 2013, Front. Comput. Neurosci..

A kernel method to comparing distributions

Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, 2007, AAAI 2007.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Learning Variance Statistics of Natural Images

Si Wu, Libo Ma, Malte J. Rasch, 2011, ISNN.

Integrating structured biological data by Kernel Maximum Mean Discrepancy

Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola, 2006, ISMB.

Neural network accelerator design with resistive crossbars: Opportunities and challenges

Kaushik Roy, Tayfun Gokmen, Wilfried Haensch, 2019, IBM J. Res. Dev..

Integration or separation in the processing of facial properties - a computational view

Christoph D. Dahl, Malte J. Rasch, Isabelle Bülthoff, 2016, Scientific Reports.

A Kernel Two-Sample Test

Bernhard Schölkopf, Alexander J. Smola, Arthur Gretton, 2012, J. Mach. Learn. Res..

A Kernel Approach to Comparing Distributions

Bernhard Schölkopf, Alexander J. Smola, Arthur Gretton, 2007, AAAI.

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release

Tao Wang, Si Wu, Xiaolong Zou, 2016, Front. Comput. Neurosci..

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation

Wilfried Haensch, Malte J. Rasch, Sangbum Kim, 2019, ICONIP.

A Decentralized Architecture for Multisensory Neural Information Integration

Si Wu, Wenhao Zhang, Malte J. Rasch, 2015 .

Developmental processes in face perception

Masaki Tomonaga, Christoph D. Dahl, Malte J. Rasch, 2013, Scientific Reports.

Efficient ConvNets for Analog Arrays pdf

Tayfun Gokmen, Wilfried Haensch, Mattia Rigotti, 2018, ArXiv.

Training Large-scale Artificial Neural Networks on Simulated Resistive Crossbar Arrays

Tayfun Gokmen, Wilfried Haensch, Malte J. Rasch, 2020, IEEE Design & Test.

Own-race and own-species advantages in face perception: a computational view

Christoph D. Dahl, Malte J. Rasch, Chien-Chung Chen, 2014, Scientific Reports.

Analysis of neural signals: Interdependence, information coding, and relation to network models

Malte J. Rasch, M. Rasch, 2008 .

Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays pdf

Tayfun Gokmen, Seyoung Kim, Jae-Joon Kim, 2019, ArXiv.

RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Tayfun Gokmen, Wilfried Haensch, Mattia Rigotti, 2019, Front. Neurosci..

Design principles of the sparse coding network and the role of “sister cells” in the olfactory system of Drosophila

Si Wu, Yuanqing Li, Malte J. Rasch, 2013, Front. Comput. Neurosci..

A Kernel Method for the Two-Sample-Problem

Bernhard Schölkopf, Alexander J. Smola, Arthur Gretton, 2006, NIPS.

Training LSTM Networks With Resistive Cross-Point Devices

Tayfun Gokmen, Wilfried Haensch, Malte J. Rasch, 2018, Front. Neurosci..

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays

Tayfun Gokmen, Abu Sebastian, Manuel Le Gallo, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, 2021, Frontiers in Computational Neuroscience.

Experience-dependent emergence of beta and gamma band oscillations in the primary visual cortex during the critical period

Malte J. Rasch, M. Rasch, Guang Chen, 2015, Scientific Reports.

What is the functional role of adult neurogenesis in the hippocampus

Laurenz Wiskott, Gerd Kempermann, Malte J. Rasch, 2004 .