'Mechanistic models' presentation slideshows

Emulation, Elicitation and Calibration

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Part III: Models of synaptic plasticity

Swiss Federal Institute of Technology Lausanne, EPFL Laboratory of Computational Neuroscience, LCN, CH 1015 Lausanne Part III: Models of synaptic plasticity BOOK: Spiking Neuron Models, W. Gerstner and W. Kistler Cambridge University Press, 2002 Chapters 10-12

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Ottar Bjornstad Center for Infectious Disease Dynamics, Penn State University

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????????? ? 2 ? ????????. Ref:Tanya M. Shenk, Alan B. Franklin, Modeling in natural resource management, Island press, Washington, 2001. ??? : ???. ????. 1 Introduction 2 Purposes of Models 3 Kinds of Models 4 Examples of Models 5 Verification and Sensitivity Analysis

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Modelling the export of biogenic particulates from upper ocean

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Modelling the export of biogenic particulates from upper ocean

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Remote-sensing and biodiversity in a changing climate

Remote-sensing and biodiversity in a changing climate. Catherine Graham SUNY-Stony Brook Robert Hijmans, UC-Berkeley Lianrong Zhai , SUNY-Stony Brook Sassan Saatchi, JPL/UCLA Tom Smith, UCLA. Research Program (NIP). Integrate remote-sensing data into species distributional modeling

248 views • 24 slides

MJ Paul Tetra Tech Inc. Center for Ecological Sciences RTP, NC

Using biological responses in nutrient criteria development: applications, opportunities, and concerns. MJ Paul Tetra Tech Inc. Center for Ecological Sciences RTP, NC. Nutrient Pollution Impacts Biology. We can simplify the linkages This has Clean Water Act implications.

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Introduction

Stimulus-Specific Adaptation in Auditory Cortex Is an NMDA-Independent Process Distinct from the Sensory Novelty Encoded by the Mismatch Negativity. Introduction. The role of primary auditory cortex in sensory and cognitive processing is debated.

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Using Clinical Trial Data to Construct Policies for Guiding Clinical Decision Making

Using Clinical Trial Data to Construct Policies for Guiding Clinical Decision Making. S. Murphy & J. Pineau American Control Conference Special Session June, 2009. Outline. Long Term Goal: Improving Clinical Decision Making Using Data. Sequential Clinical Decision Making Clinical Trials

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Critical Transitions in Nature and Society

Critical Transitions in Nature and Society. Marten Scheffer. Chapter 14. How to Know if Alternative Basins of Attraction Exist ?. 14.1 Hints from Field Data. How one can tell if there are multiple attractors? Jumps in time-series or regime shifts

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BBNs and mechanistic models

MCSA 06/07 L07. BBNs and mechanistic models. Andrea Castelletti. Politecnico di Milano. Didactic map. BBNS. The model of the lake. Discretization of the variables. Conditional Probability Tables. Bayesian belief networks (BBNs). The aggregated probability on each column must be 1:

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PEcAn

PEcAn. The P redictive Ec osystem An alyzer. Motivation. Synthesize heterogeneous data Bridge gap between conceptual and computational models Summarize what we know, based on available data and mechanistic models

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Butterflies as a model system to understand the interaction of landscape and climate

Butterflies as a model system to understand the interaction of landscape and climate. Leslie Ries National Socio-environmental Synthesis Center (SESYNC), Annapolis, MD Department of Biology University of Maryland, College Park Nick Haddad Department of Biology

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Continuous observations (every 30 minutes):

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Data Assimilation Workshop Oct 22-24, 2007 Norman, OK Poster presented by Rich Lucas & Kiona Ogle

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