Dr. Vladislav Nachev

Phone: +(49) 030 2093 47942
Email: vladislav.nachev@charite.de
ORCID iD iconorcid.org/0000-0003-0521-6153

A biologist passionate about science, data, behavior, and education

Education:
2013    Doctoral degree at Humboldt University, Berlin, Title of Thesis: “Cognition mediated floral evolution: Pollinator decision making in a virtual pollination ecology paradigm”
2008    Enrolled as a doctoral student at Bielefeld University
2007    Diploma in Zoology at the Ludwig-Maximilians-Universität München

Research Interests:
Decision-Making, Probability and Risk, Perceptual Decision-making, Reward Evaluation, Cognitive Ecology, Behavioral Ecology, Plant-Pollinator Interactions, Co-evolution, Optimal Foraging, Nectarivory

Publications:
Nachev V, Winter Y (submitted) Behavioral repeatability and foraging performance in wild free-flying nectarivorous bats (Glossophaga commissarisi)
Rivalan M, Winter Y, Nachev V (2017) Principles of Economic Rationality in Mice. Scientific Reports 7, Article number: 17441. doi: 10.1038/s41598-017-17747-7
Nachev V, Stich KP, Winter C, et al (2017) Cognition-mediated evolution of low-quality floral nectars. Science 355:75–78. doi: 10.1126/science.aah4219
Nachev V, Stich KP, Winter Y (2013) Weber’s Law, the magnitude effect and discrimination of sugar concentrations in nectar-feeding animals. PLoS ONE 8:e74144. doi: 10.1371/journal.pone.0074144
Nachev V, Thomson JD, Winter Y (2013) The psychophysics of sugar concentration discrimination and contrast evaluation in bumblebees. Anim Cogn 16:417–427. doi: 10.1007/s10071-012-0582-y
Nachev V, Winter Y (2012) The psychophysics of uneconomical choice: non-linear reward evaluation by a nectar feeder. Anim Cogn 15: 393–400. doi:10.1007/s10071-011-0465-7

Data sets and code:
ontogenerator/cpdetectoR: DOI
ontogenerator/Shiny_TOSTER: DOI
Repeatability and foraging performance in wild free-flying nectarivorous bats (Glossophaga commissarisi) (2018) DOI
Principles of economic rationality in mice (2017) DOI
Cognition-mediated Evolution of Low-Quality Floral Nectars (2017) DOI
Simulation Software for “Cognition-mediated Evolution of Low-Quality Floral Nectars” (2017) DOI


 

Courses:
Tierexperimentelle Grundlagen Maus/Ratte und Verhaltensdiagnostik; Übungen, Seminar; SS17, SS18
Humanbiologisch-Ethologischer Kurs; Übungen; SS17
Grundlagen der Tier- und Neurophysiologie; Übungen, Vorlesung; SS16, SS17
Einführung in die Biologie der eukaryotischen Zelle; Übungen; WS16/17
Cognition, Behaviour and Evolution; Übungen, Seminar; WS12/13, WS13/14, WS14/15, WS15/16, WS16/17, WS 18/19
Behavioral diagnostics in mouse models for neurology and psychiatry; Übungen, Seminar; SS13, SS14, SS15, SS16
Experimental behaviour analysis and R programming*; Übungen; WS15/16, WS16/17, WS18/19

* This class is supported by DataCamp, an intuitive and content-rich learning platform for data science. Develop your data analysis and statistics skills using R, Python, and SQL through a combination of short expert videos and hands-on-the-keyboard exercises.