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Martin Nawrot : Invited Talks

Invited Talks


2014/09/02 Computations in small brains: insect-inspired robotic control. Bernstein Conference in Computational Neuroscience, Göttingen, Germany

2015/03/21 From Insect Neuroethology to Neurotechnology: computations in small brains. German Neuroscience Conference, Göttingen, Germany


2014/05/10 Modelling odorant representation and associative learning in the olfactory system of the honeybee, Workshop on Development and Plasticity of the Insect Nervous System, Rauischholzhausen, Germany

2014/01/21 The sparse odor code in the musrhoom body: mechanism and function. Biocenter Würzburg, Colloquium of the SFB1047 - Insect Timing

2014/01/06 Cellular adaptation benefits sparse and reliable information coding in nervous systems Biocenter, University of Cologne, Germany

2013/10/11 Single neuron plasticity in the mushroom body correlates with memory retention performance across individual honeybees Universität Konstanz, Fachbereich Biologie, Raum M 1101

2013/09/28 Associative strength at the single neuron level correlates with conditioned response behavior in individual honeybees European Symposium for Insect Taste and Olfaction (ESITO) 2013, Villasimius, Italy

2013/07/16 From Neuroethology to Neurotechnology: Neural Computations in Small Brains Biocenter, University of Würzburg, Germany

2013/04/25 Self-inhibition of spiking neurons supports reliable and sparse stimulus representation Humboldt Universität zu Berlin, Institut für Physik, Germany

2013/03/27 Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways Institute of Neuroscience and Medicine, Forschungszentrzum Jülich, Germany

2012/12/12 Spike train analysis: Single neuron and population rate code FliAct workshop on electrophysiology, Max Plack Insitute for Chemical Ecology, Jena, Germany

2012/11/02 Cellular adaptation suppresses variability and enforces sparseness of cortical responses. Workshop on statistical aspects of neural coding, Ritsumeikan University, Kyoto, Japan

2012/11/01 The Myth of Poissonian Spiking: Interval and Count Statistics in Biological Neurons.Student Lecture at the Workshop on statistical aspects of neural coding, Kyoto University, Japan [PDF]

2012/09/03 A novel mechanism for sparse and reliable stimulus coding in sensory cortices 10th International Neural Coding Workshop, Prague, Czech Republic

2012/07/09 Sparse and reliable population coding in cortical networks Center for Behavioral Brain Science, Magdeburg, Germany

2012/06/18 Refining stochastic models for statistical spike train analysis Workshop on Validation of Data Analysis Methods, INCF Secretariat, Stockholm, Sweden

2012/06/11 Spatial and temporal aspects of odor coding and memory formation in the honeybee Center of Excellence Cognitive Interaction Technology, Bielefeld, Germany

2011/08/24 Sinks and Sources of Cortical Variability Advanced Course Computational Neuroscience (ACCN), Bedlewo, Poland

2011/06/29 Exploring the Relation of Interval and Count Variability in Neural Spike Trains 8th European Conference on Mathematical and Theoretical Biology, Kraków, Poland

2011/05/23 Neural and Behavioral Dynamics of Odor Learning in the Honeybee Department of Neurobiology, Universität Konstanz, Germany

2011/03/08 Neural and Behavioral Dynamics during Associative Learning in the Honeybee Max Planck Institute of Neurobiology, Munich, Germany

2011/02/03 Neural correlates of odor processing and reward prediction in the honeybee brain. Institut National de la Recherche Agronomique, Versaille, France

2011/01/25 Dynamics of odor processing and reward prediction in the honeybee brain. Bernstein Center for Computational Neuroscience Freiburg, Germany

2011/01/24 Neural correlates of odor processing and reward prediction in the honeybee brain. Institute of Biology, Otto von Guericke Universität Magdeburg, Germany

2010/12/13 Dynamics of odor coding and reward prediction in the honeybee brain. Institut des Sciences du Mouvement, CNRS et Universite de la Mediterranee, Marseille, France

2010/10/26 Successive stages of response adaptation in feed-forward networks: implications for the insect olfactory pathway. Spike-Frequency Adaptation in Neural Systems Workshop, Dresden, Germany

2010/02/02  The variable discharge of cortical neurons revisited. 2nd German-Korean Workshop on Machine Learning in Life Sciences: Computational Neuroscience, Berlin, Germany

2009/12/15 Dynamics of Odor Processing in the Insect Antennal Lobe. Biozentrum Universität Würzburg

2009/09/18  Information processing in the Antennal Lobe of Apis mellifera. Max-Planck-Institut für Chemiche Ã?kologie, Jena, Germany

2009/09/14  On the Origins of of single neuron variability in the neocortex. Donders Institute for Brain, Cognition, and Behaviour - Centre for Neuroscience, Nijmegen, Netherlands

2009/07/13  Neuronale Kodierung in Bienen und Affen. Institutskolloquium, Institut für Biologie, Freie Universität Berlin

2009/04/17 Coding under noisy conditions: The effect of network state dynamics and spike frequency adaptation on cortical population coding and variability. Mediterranean Institute for Neuroscience (INSM), CNRS, Marseille, France

2009/03/02 The effect of cortical network state evolution on the amount and dynamics of single neuron variability. Computational and Systems Neuroscience Conference 2009. Workshop Neural variability and movement variability, Snow Bird, Utah

2008/10/08 Serial Correlation in Neural Spike Trains: experimental evidence - point process modeling - single neuron variability. 4th Bernstein Symposium, Munich, Germany

2008/05/22 Coding and variability in single neurons and cortical networks. Institute for Theoretical Informatics (Prof. F. Wichmann), Technical University Berlin, Germany

2008/05/02 Odor encoding properties of antennal lobe projection neurons in the honeybee. Graduate School of Information Science and Technology (Profs. R. Kanzaki and H. Takahashi), University of Tokyo, Japan

2008/04/28 Measurement of variability in neuronal spike trains: irregularity, count variability and serial interval correlation. Nonlinear Dynamics Seminar (Prof. S. Shinomoto), Kyoto University, Japan

2008/04/22 The variable discharge of cortical neurons - a quantitative analysis of contributing factors. Invited Forum, RIKEN Brain Science Institute, Wako, Japan

2008/03/14 Spatio-temporal structure of spontaneous state transitions in the neocortex. Centre de Recerca Matemàtica, Barcelona, Spain

2007/12/18 Dynamic evolution of global neural network activity and its effect on cortical variability. Institute of Physics, Humboldt University Berlin

2007/12/14 Three challenges: Data complexity, format confusion and intransarancey of data analysis analyses. 1st INCF Workshop on Sustainability for Neuroscience Databases, Karolinska Institutet, Stockholm, Sweden

2007/11/07 Serial inter-spike interval correlation in spiking neurons: Phenomenology, stochastic modeling and statistic predictions. Noise in Life 2007: Stochastic Dynamics in the Neurosciences, Dresden, Germany

2007/09/12 Neuron-intrinsic and -extrinsic factors contributing to cortical variability. Neuroscience Center Zurich, University of Zürich, Switzerland

2007/09/17 Ongoing activity: from single neuron spike rate to local field amplitude. Brainworks 2007, Münstertal, Germany

2007/06/07 Cortical Spike Variability ? Quantitative Analysis of Contributing Factors. Division of Neurobiology, Ludwig-Maximilians University Munich, Germany

2006/09/19 Cortical Variability Caused by Slow Network Dynamics. Workshop Dynamics of Visual Perception and Voluntary Action. Universite de la Mediterranee, Luminy, France.

2005/10/11 Mechanisms underlying variability in cortical networks. 1st symposium of Bernstein Centers for Computational Neuroscience, Freiburg, Germany

2005/09/26 Stochastic Point Processes - Basic Theory and Analysis. Summer School Complex Networks in Brain Dynamics, Potsdam, Germany

2005/09/23 Mechanisms underlying variability in cortical networks. Summer School Complex Networks in Brain Dynamics, Potsdam, Germany

2005/09/14 Excitatory functional connectivity to cortex layer V pyramidal neurons. BrainWorks2005, Münstertal, Germany

2005/04/13 Reliabilty and Variability in the Neocortex. Bernstein Center for Computational Neuroscience Berlin, Germany

2005/04/08 Ongoing activity in the motor cortex - noise, variability and context. Learning and Memory Systems laboratory, Tamagawa University, Tokyo, Japan

2005/01/14 Reliability of synaptic integration in cortical neurons. An in vitro study using dynamic photostimulation, Institut de Neurosciences Cognitives de la Mediterranee, CNRS, Marseille, France.

2004/12/10 Ongoing activity in the motor cortex: noise, variability and context, Institut de Neurosciences Cognitives de la Mediterranee, CNRS, Marseille, France.

2004/11/23 Variability of motor cortical activity explained by network dynamics on multiple time scales. Kolloquium des Sonderforschungsbereichs Theoretische Biologie, Institut für Biologie, Humboldt Universität Berlin, Germany

2004/11/19 Reliability of synaptic input patterns and spike timing. An in vitro study using dynamic photostimulation. Kolloquium Neurobiologie, Fachbereich Biologie, Freie Universität Berlin, Germany

2004/10/11 Reproducibility of induced synaptic inputs in vitro, BrainWorks 2004, Emmendingen, Germany

2004/05/20 Variability of motor cortical activity explained by network dynamics on short and long time scales. Models and Experiments: Towards Adaptive Control of Motor Prostheses, Internat. Workshop, University of Bremen, Germany

2003/10/20 Cortical Variability Explained by Ongoing Activity. Department of Nonlinear Dynamics, Max Planck Institut für Strömungsforschung, Göttingen, Germany

2003/06/18 Variability in Cortical Activity ? in vivo, in vitro, in models. Workshop Self-Organization of Synfire Networks as a Substrate for Higher Brain Function, Dep. of Neuroscience, Albert-Ludwigs-University Freiburg.

2001/12/14 Ongoing activity in the motorcortex as a source for trial-by-trial variability Department of Neuroscience, School of Medicine, University of Pennsylvania, Philadelphia, USA

2001/11/16 Variability and reliability of neuronal population activity in the motor cortex: From single-trial analysis to brain interfacing, Computational Learning and Motor Control Lab, USC, California, USA

2001/07/11 Inconsistency of trial-by-trial variability and firing irregularity in neocortical cells yield evidence for brain states due to ongoing activity, Laboratory of Mathematical Neuroscience, Riken Brain Science Institute, Wako, Japan

2001/04/12 Cortical Variability and the Notion of Stochastic Point Processes, Summer School in Computational Neuroscience, Computer Science Dep., Univ. Malaga, Spain

1999/09/23 Single-trial rate estimation. Institute for Theoretical Biology, Humboldt Universität zu Berlin, Germany