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PhD Theses

2020

Robust learning algorithms for spiking and rate-based neural networks
Akos F. Kungl
HD-KIP 20-63

2019

Solving machine learning problems with biological principles
Luziwei Leng
HD-KIP 19-83

2018

Mixed-Signal Circuit Implementation of Spiking Neuron Models
Syed Ahmed Aamir
HD-KIP 18-51

2017

Device Variability in Synapses of Neuromorphic Circuits
Christoph Koke
HD-KIP 17-23

Achieving a Higher Integration Level of Neuromorphic Hardware using Wafer Embedding
Gilbert Maurice Güttler
HD-KIP 17-129

Computing with noise in spiking neural networks
Ilja Bytschok
HD-KIP 17-54

Neuron Circuit Characterization in a Neuromorphic System
Mitja Kleider
HD-KIP 17-135

Modeling and Verification for a Scalable Neuromorphic Substrate
Paul Müller
HD-KIP 17-119

2016

Implementation and Characterization of Mixed-Signal Neuromorphic ASICs
Hartel, Andreas
HD-KIP 16-07

2015

Form vs. Function - Theory and Models for Neuronal Substrates
Mihai A. Petrovici
HD-KIP 15-60

Exploring the potential of brain-inspired computing
Thomas Pfeil
HD-KIP 15-18

2014

Novel Operation Modes of Accelerated Neuromorphic Hardware
Eric Christian Müller
HD-KIP 14-98

Modern semiconductor technologies for neuromorphic hardware
Matthias Hock
HD-KIP 14-105

A Scalable Workflow for a Configurable Neuromorphic Platform
Sebastian Jeltsch
HD-KIP 14-51

2013

A new approach to learning in neuromorphic hardware
Friedmann, Simon
HD-KIP 13-86

Reproducing Biologically Realistic Regimes on a Highly-Accelerated Neuromorphic Hardware System
Marc-Olivier Schwartz
HD-KIP 13-87

2012

Development of a Multi-Compartment Neuron Model Emulation
Sebastian Millner
HD-KIP 12-83

2009

Neuroscientific Modeling with a Mixed-Signal VLSI Hardware System
Daniel Brüderle
HD-KIP 09-30

2008

Design and Implementation of a Multi-Class Network Architecture for Hardware Neural Networks
Stefan Philipp
HD-KIP 08-20

2007

VLSI Implementation of a Spiking Neural Network
Andreas Grübl
HD-KIP 07-10

2006

Markov Process Models for Neural Ensembles with Spike-Frequency Adaptation
Eilif Benjamin Muller
HD-KIP 06-17

A Method for Image Classification Using Low-Precision Analog Computing Arrays
Johannes Fieres
HD-KIP 06-20

Evolution of Transistor Circuits
Martin Trefzer
HD-KIP 06-29

Evolution in Hardware - Eine Experimentalplattform zum parallelen Training analoger neuronaler Netzwerke
Tillmann Schmitz
HD-KIP 06-18

2005

A High Dynamic Range CMOS Image Sensor with Adaptive Integration Time Control
Andreas Breidenassel
HD-KIP 05-06

Exploring Liquid Computing in a Hardware Adaptation: Construction and Operation of a Neural Network Experiment
Felix Schürmann
HD-KIP 05-09

Intrinsic Hardware Evolution on the Transistor Level
Joerg Langeheine
HD-KIP 05-12

Stepwise Evolutionary Training Strategies for Hardware Neural Networks
Steffen Hohmann
HD-KIP 05-05

2004

Untersuchung der durch taktile Muster evozierten Änderungen der Aktivität im Cortex mit einem pneumatischen Display
Thorsten Maucher
HD-KIP 04-17

2001

Magnetic source imaging of tactile evoked activity in the human secondary somatosensory cortex
Karsten Hoechstetter
HD-KIP 01-13

1999

An Integrated Analog Network for Image Processing
Johannes Schemmel
IHEP 99-08

A Self Calibrating CMOS Image Sensor with Logarithmic Response
Markus Loose
IHEP 99-07

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