Presentations — General Audience
Kozloski J (2016) Why the brain is simpler than we think. TED@IBM 2016: Spark, https://www.youtube.com/watch?v=x6L0jaEC9rM
Kozloski J (2016) IBM Growth and Transformation Team, Stage Presentation to CEO
Kozloski J (2016) IBM CIO Leadership Exchange, Panama City, Panama
Kozloski J (2016) IBM Tech Talk Atlanta Finish Line Recruiting Event
Kozloski J (2020) Network Dysfunction in Brain Injury and Neurodegeneration: Cause or Effect? The University of Chicago Neuroscience Institute, Computational Neuroscience Seminar Series
Kozloski J (2019) Multiscale Computational Models of Neuronal and Network Dysfunction in Huntington’s Disease, 2nd International Conference on Neurovascular and Neurodegenerative Disease, Paris, France
Kozloski JR, Sihag S, Naze S, Taghdiri F, Tator CH, Wennberg R, Mikulis D, Green R, Colella B, Tartaglia MC (2019) Multimodal Brain Imaging Fusion Augments Blood Biomarkers for Post-concussion Syndrome, Concussion Research Symposium, Canadian Concussion Center, UHN Toronto, Canada, https://www.youtube.com/watch?v=2i-iGJLXibA
Allam S, Rumbell T, Hoang Trong T, Kozloski J (2019) Striatal population models of ionic conductances reveal mechanisms for conversion among healthy, disease, and drug-treated phenotypes, Society for Neuroscience poster abstract 615.07.
Rumbell T, Hoang Trong T, Allam S, Kozloski J (2019) Dopamine neuron population modeling and intracellular pathway modulation in a nigrostriatal model, Society for Neuroscience poster abstract 615.09
Kozloski J, Allam S, Hoang-Trong T, Ponzi A, Rumbell T (2018) From synapses to networks: a multi-scale approach for reverse phenotypic screening of HD models and therapeutic target identification, Poster Presentation, CHDI 13th Annual HD Therapeutics Conference, Palm Springs, CA
Kozloski J, Hoang-Trong T, Humble J, Naze S, Ponzi A (2018) From networks to imaging: a multi-scale network modeling approach to HD clinical progression and prognostic enrichment, Poster Presentation, CHDI 13th Annual HD Therapeutics Conference, Palm Springs, CA
Kozloski J (2017) Modeling Relationships Between Clinical Progression and Circuit Dysfunction in Huntington’s Disease, NJIT Frontiers in Applied & Computational Mathematics Symposium “Listening to the Heart and Brain: Current Challenges in Multiscale Modeling
Kozloski J (2017) Modeling duality between clinical progression and circuit dysfunction in Huntington’s disease to inform therapeutic intervention, Platform Presentation, CHDI 12th Annual HD Therapeutics Conference, Palm Springs, CA
Humble J, Kozloski (2017) Cannabinoid signaling and risk in Huntington’s disease, Gordon Conference: Cannabinoid Function in the CNS, Waterville Valley, NH
Rumbell T, Kozloski J (2017) Efficient control of dopamine neuron physiology for rescuing disease phenotypes, 21st International Congress of Parkinson’s Disease and Movement Disorders, Vancouver, BC, Canada.
Hoang Trong T, Rumbell T, Kozloski J (2017) The role of calcium microdomains in modifying synaptic efficacy via gain control of electrical propagation through MSN spines and dendrites, Society for Neuroscience poster abstract 91.08.
Humble J, Kozloski J (2017) Cannabinoid signaling, modulation and risk in Huntington's disease, Society for Neuroscience poster abstract 212.05.
Allam S, Rumbell T, Hoang Trong T, Ponzi A, Kozloski J (2017) Identifying functional regulatory units in Huntington's Disease Mouse Models using a population based evolutionary algorithm, Society for Neuroscience poster abstract 388.16.
Rumbell T, Kozloski J (2017) Identifying functional regulatory units controlling dopamine neuron subthreshold oscillation properties using a population-based approach to parameter optimization, Society for Neuroscience poster abstract 91.11.
Naze S, Humble J, Zheng P, Barton S, Rebec GV, Kozloski J (2017) Cortico-striatal phase-amplitude coupling in gamma genesis, Society for Neuroscience poster abstract 212.02.
Ponzi AP, Barton SJ, Rebec GV, Kozloski J (2017) Modeling striatal network dynamics in disease, Society for Neuroscience poster abstract 718.08.
Motley SE, Hoang Trong T, Kozloski J, Morrison JH, Kerr R (2016) Explicitly incorporating dendritic spines of different morphological classes into a multi-compartment model of a pyramidal neuron, Society for Neuroscience poster abstract 718 368.09.
Kozloski J, Hoang Trong T, Rumbell T, Zheng P (2016) A homeostatic brain model of plasticity and risk in Huntington’s disease, Poster Presentation, CHDI 11th Annual HD Therapeutics Conference, Palm Springs, CA.
Kozloski J (2016) IEEE Technology Time Machine, https://ieeetv.ieee.org/conference-highlights/brain-panelist-james-kozloski-2016-technology-time-machine?rf=channels|57&
Kozloski J (2016) Neuroscience: Computing, Cognition, and the Future of Knowing, IBM Academy of Technology, Keynote Address, Somers, NY
Kozloski J (2016) In Search of a Fundamental Brain Architecture for Cognition, Computing, and the Future of Knowing, IBM Academy of Technology, Keynote Address, Manhattan, NY
Kozloski J (2015) Constraints For Large-Scale Neural Tissue Simulation Derived From a Homeostatic Brain Model of Plasticity and Risk in Huntington's Disease, OCNS 2015 Workshop: High-performance computing in neuroscience - from physiologically realistic neurons to full-scale brain models, Organizers Wolfram Schenck, Alex Peyser, Markus Butz-Ostendorf (Jülich and RIKEN), and Anders Lansner (KTH), Prague, Czech Republic.
Kozloski J (2015) Brain Systems Modeling using Multimodal, Multiscale Constraints: Applications in Neurodegenerative Disease Research, Mechanisms, and Progression. Presentation to Mount Sinai School of Medicine.
Kozloski, J (2015) Brain Systems Modeling using Multimodal, Multiscale Constraints for Clinical Research and Diagnostic Support. Presentation to Carnegie Mellon University BrainHub.
Kozloski, J (2014) Generative algorithms for scaling microstructural models of dendrites, axons, and synapses to whole tissues and brain. Presentation to Focus Program on Neurovascular Coupling, Fields Institute, U. Toronto
Kozloski, J (2014) Scalable Reaction Diffusion Calculations over Gap Junction Coupled, Branched Neuron Topologies in Neural Tissue Simulations of the Inferior Olive. Mathematical Biology Seminar, New Jersey Institute of Technology.
Kozloski J, Wagner J, Memelli H, Gurev V (2014) A large-scale physiological model of Inferior Olive neurons reveals climbing fiber intra-burst frequency depends on Olivocerebellar axon morphology. OCNS 2014, Quebec City. BMC Neuroscience 2014, 15(Suppl 1):P149.
Kozloski J (2013) Brain Mapping: How the IBM’s Computational Biology Center maps the structure and function of the human brain, IBM Academy of Technology THINK series, "Big Brains" event.
Kozloski J, Wagner J, Costa R, Memelli H, and Gurev V (2013) Modeling Synaptic Plasticity in Large-Scale Neural Tissue Simulations of Chronic Pain and Drug Treatments. Biomedical Research Current Challenges in Computing, Lawrence Livermore National Labs and IBM sponsors. Napa, CA.
Kozloski J and Gurev V (2013) Full-scale structural model of the Inferior Olive and Olivocerebellar projection constructed from constraining meshes and directed growth. OCNS 2013, Paris. BMC Neuroscience 2013, 14(Suppl 1):P190.
Kozloski J (2013) A Scalable Solution for Specifying and Solving Arbitrary Dense Neural Tissue Model Graphs in a Domain Decomposition: Plans and Implications for I/O Bound Applications and Analysis. “Blue Gene Active Storage” Workshop, Institute for Advanced Simulation, Juelich Supercomputing Centre, Juelich, Germany.
Kozlosk J (2012) The Neural Tissue Simulator: An Ultrascalable Solution to Arbitrary Reaction Diffusion Calculations over Generate Neural Tissue Topology. Center for Cell Analysis and Modeling, University of Connecticut Health Center. Invited seminar.
Kozloski J (2012) The Neural Tissue Simulator: An Ultrascalable Infrastructure for Specifying and Solving Arbitrary Model-Graphs over Complex Neural Tissue Topology, Presentation to INCF, Karolinska Institute, Multiscale Modeling Workshop “From cellular/network models to tissue simulation”, Organizer Erik de Schutter (OIST), Stockholm, Sweden.
Kozlosk J (2012) The Neural Tissue Simulator: An Ultrascalable Solution to Large-Scale Structural and Electrophysiological Simulations of Neuronal Circuit Function, Seminar at the Centre for Neural Engineering, University of Melbourne, Australia.
Kozloski J (2012) The Neural Tissue Simulator: An Ultrascalable Solution to Arbitrary Reaction Diffusion Calculations over Complex Neural Tissue Topology, Seminar at the Department of Engineering Sciences and Applied Mathematics, Northwestern University.
Kozloski J (2012) The Neural Tissue Simulator: How to specify and scale an arbitrary number of compartment variables over an arbitrary number of compartments, Presentation to NeuroML Workshop, Convergence in Computational Neuroscience, University of Edinburgh, Scotland.
Kozloski J (2011) Brain systems computation with the neural tissue simulator, CNS*2011 Workshop: Supercomputational Neuroscience: tools and applications, Organizers Abigail Morrison (U. Freiburg), Markus Diesmann (Juelich and RIKEN), and Anders Lansner (KTH), Stockholm, Sweden.
Kozloski J (2010) The Neural Tissue Simulator, Poster presentation at the DIADEM 2010 - Final Round Conference, Howard Hughes Janelia Farm Research Campus. Organizer Giorgio Ascoli (Krasnow Institute, George Mason U.).
Kozloski, J., Eleftheriou, M., Fitch, B., Peck, C. (2009). Interoperable Model Graph Simulator for High-Performance Computing. Technical Report RC24811. Yorktown Heights, NY: IBM T. J. Watson Research Center.
Kozloski J, Markram H (2008) Structural simulations and analysis of morphologically detailed neural microcircuits. Forum of European Neuroscience (FENS), Special Event Lecture, Plenary Hall, SE09-2-2.
Kozloski J, Eleftheriou M, Germain RS, Fitch B, and Peck C, (2008) Programming with the Large Scale Edge-Node Simulator on Blue Gene/L: A Case Study of 3D FFT, 13th SIAM Conference on Parallel Processing for Scientific Computing, abstract CP8-2.
Kozloski J, Peck C, Cecchi G, Rao R (2007) Layer 2/3 Is a neural multigrid: Information maximization in a local network explains V1 hypercolumn formation, Computational and Systems Neuroscience (COSYNE ) abstract II-70.
Kozloski J, Cecchi GA, Peck CC, Rao AR (2007) A network for computing topographic infomax with and overcomplete basis: Correlates with the neocortical microcircuit, Dynamic Brain Forum (DBF), Riken Institute and Tamagawa University, Japan, 2007.
Rao AR, Cecchi GA, Peck CC, Kozloski J (2007) Performance characterization of an oscillatory neural network that achieves binding through phase synchronization Dynamic Brain Forum (DBF), Riken Institute and Tamagawa University, Japan.
Rao AR, Cecchi GA, Peck CC, Kozloski J (2006) An optimization approach to achieve unsupervised segmentation in a network using dynamical units Proceedings of IEEE International Joint Conf on Neural Networks (IJCNN).
Kozloski J, Rao R, Cecchi G, Peck C (2005) Topographic map formation by maximizing information from naturalistic images in a microcircuit-inspired model of V1. Society for Neuroscience (SFN) abstract 582.6.
Cecchi GA, Kozloski J, Peck CC, Rao RA (2005) Mesoscopic modeling of thalamo-cortical circuitry: large-scale topology, oscillations and synchronization. Society for Neuroscience (SFN) abstract 617.12.
Peck C, Cecchi G, Rao R, Kozloski J (2004) A thalamo-cortical microcircuit model for generating emergent oscillations and preventing runaway excitation in strong corticao-cortical loops Society for Neuroscience (SFN) slide presentation abstract 598.9.
Kozloski J, Hamzei-Sichani F, Yuste R (2003) Quantitative classification of layer V interneurons from mouse visual cortex: Evidence for interneurons classes with different sub-laminar input sampling. Society for Neuroscience (SFN) abstract.
Peck C, Cecchi G, Rao R, Arnold W & Kozloski J (2002) Specification and simulation of patterned microcircuit connectivity in a Large-Scale Edge Node Simulation (LENS). Society for Neuroscience (SFN) abstract 405.22.
Kozloski, J (2002) Simulating stereotyped topology in neocortical microcircuits. Workshop on The Structure of the Cortical Microcircuit abstract, Instituto Juan March de Estudios e Investigaciones, Madrid, Spain. Invited poster.
Kozloski J (2002) Stereotyped topology in the neocortical microcircuit. Neuroscience and Computation: From synaptic to brain imaging, Centre Emile Borel, Institut Henri Poincare, Paris, France. Invited lecture.
Kozloski J, Hamzei-Sichani F, Yuste R. (2001) Quantitative classification of layer 5 neocortical interneurons using principal components and cluster analysis. Society for Neuroscience (SFN) slide presentation abstract 349.8.
Kozloski J & Crawford JD (1998) Rate coding of sound features in second and third order auditory nuclei is computed from temporally structured first order spike trains. Society for Neuroscience (SFN) abstract 77.5.
Kozloski J & Crawford JD (1998) A model of computation through convergence and multiple spike initiation zones predicts the enhanced temporal representation of auditory signals in the medulla of Pollimyrus. International Society for Neuroethology (ISN) abstract.
Kozloski J & Crawford JD (1997) Physiology of primary afferents and first order auditory neurons in the medulla of a sonic fish: Pollimyrus adspersus. Association for Research in Otolaryngology (ARO) abstract 566.
Kozloski J (1996) Transformations in temporal coding from primary afferents to first order auditory centers in a sonic fish. Behavioral Neuroscience Retreat, University of Pennsylvania, Philadelphia, PA.