User profiles for Dennis Goldschmidt

Dennis Goldschmidt

PhD student, Champalimaud Neuroscience Programme, Lisbon
Verified email at neuro.fchampalimaud.org
Cited by 341

[HTML][HTML] Biologically-inspired adaptive obstacle negotiation behavior of hexapod robots

D Goldschmidt, F Wörgötter… - Frontiers in …, 2014 - frontiersin.org
Neurobiological studies have shown that insects are able to adapt leg movements and posture
for obstacle negotiation in changing environments. Moreover, the distance to an obstacle …

The neuronal logic of how internal states control food choice

D Münch, D Goldschmidt, C Ribeiro - Nature, 2022 - nature.com
When deciding what to eat, animals evaluate sensory information about food quality
alongside multiple ongoing internal states 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 – 10 . How internal states …

Visual terrain classification for selecting energy efficient gaits of a hexapod robot

S Zenker, EE Aksoy, D Goldschmidt… - 2013 IEEE/ASME …, 2013 - ieeexplore.ieee.org
Legged robots need to be able to classify and recognize different terrains to adapt their gait
accordingly. Recent works in terrain classification use different types of sensors (like …

[HTML][HTML] A neurocomputational model of goal-directed navigation in insect-inspired artificial agents

D Goldschmidt, P Manoonpong… - Frontiers in …, 2017 - frontiersin.org
Despite their small size, insect brains are able to produce robust and efficient navigation in
complex environments. Specifically in social insects, such as ants and bees, these …

optoPAD, a closed-loop optogenetics system to study the circuit basis of feeding behaviors

JM Moreira, PM Itskov, D Goldschmidt, C Baltazar… - Elife, 2019 - elifesciences.org
10.7554/eLife.43924.001 The regulation of feeding plays a key role in determining the
fitness of animals through its impact on nutrition. Elucidating the circuit basis of feeding and …

[HTML][HTML] Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots

S Dasgupta, D Goldschmidt, F Wörgötter… - Frontiers in …, 2015 - frontiersin.org
Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of
locomotive abilities and complex behaviors. The locomotive behaviors can consist of a …

Craving for the future: the brain as a nutritional prediction system

SJ Walker, D Goldschmidt, C Ribeiro - Current Opinion in Insect Science, 2017 - Elsevier
Highlights • A powerful hypothesis in neuroscience posits that the brain is a predictive
system. • Nutrient homeostasis is typically described in terms of negative feedback. • Control …

Distinct internal states interact to shape food choice by modulating sensorimotor processing at global and local scales

D Münch, D Goldschmidt, C Ribeiro - bioRxiv, 2021 - biorxiv.org
When deciding what to eat, animals evaluate sensory information about food quality
alongside multiple ongoing internal states. How internal states interact to alter sensorimotor …

Reservoir-based online adaptive forward models with neural control for complex locomotion in a hexapod robot

…, S Dasgupta, D Goldschmidt… - … Joint Conference on …, 2014 - ieeexplore.ieee.org
Walking animals show fascinating locomotor abilities and complex behaviors. Biological
study has revealed that such complex behaviors is a result of a combination of biomechanics …

A neural path integration mechanism for adaptive vector navigation in autonomous agents

D Goldschmidt, S Dasgupta, F Wörgötter… - … Joint Conference on …, 2015 - ieeexplore.ieee.org
Animals show remarkable capabilities in navigating their habitat in a fully autonomous and
energy-efficient way. In many species, these capabilities rely on a process called path …