Invertebrate learning and cognition: relating phenomena to neural substrate
Diverse invertebrate species have been used for studies of learning and comparative
cognition. Although we have gained invaluable information from this, in this study we argue …
cognition. Although we have gained invaluable information from this, in this study we argue …
Honey bees selectively avoid difficult choices
CJ Perry, AB Barron - … of the National Academy of Sciences, 2013 - National Acad Sciences
Human decision-making strategies are strongly influenced by an awareness of certainty or
uncertainty (a form of metacognition) to increase the chances of making a right choice …
uncertainty (a form of metacognition) to increase the chances of making a right choice …
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
Understanding how the human brain is able to efficiently perceive and understand a visual
scene is still a field of ongoing research. Although many studies have focused on the design …
scene is still a field of ongoing research. Although many studies have focused on the design …
A computational framework for understanding decision making through integration of basic learning rules
Nonassociative and associative learning rules simultaneously modify neural circuits.
However, it remains unclear how these forms of plasticity interact to produce conditioned …
However, it remains unclear how these forms of plasticity interact to produce conditioned …
[HTML][HTML] Gain control network conditions in early sensory coding
Gain control is essential for the proper function of any sensory system. However, the precise
mechanisms for achieving effective gain control in the brain are unknown. Based on our …
mechanisms for achieving effective gain control in the brain are unknown. Based on our …
Learning pattern recognition and decision making in the insect brain
R Huerta - AIP Conference Proceedings, 2013 - pubs.aip.org
We revise the current model of learning pattern recognition in the Mushroom Bodies of the
insects using current experimental knowledge about the location of learning, olfactory …
insects using current experimental knowledge about the location of learning, olfactory …
Data-driven honeybee antennal lobe model suggests how stimulus-onset asynchrony can aid odour segregation
Insects have a remarkable ability to identify and track odour sources in multi-odour
backgrounds. Recent behavioural experiments show that this ability relies on detecting …
backgrounds. Recent behavioural experiments show that this ability relies on detecting …
Improving odor classification through self-organized lateral inhibition in a spiking olfaction-inspired network
B Kasap, M Schmuker - 2013 6th International IEEE/EMBS …, 2013 - ieeexplore.ieee.org
In this study, we propose unsupervised learning of the lateral inhibition structure through
inhibitory spike-timing dependent plasticity (iSTDP) in a computational model for multivariate …
inhibitory spike-timing dependent plasticity (iSTDP) in a computational model for multivariate …
[HTML][HTML] Natural image sequences constrain dynamic receptive fields and imply a sparse code
In their natural environment, animals experience a complex and dynamic visual scenery.
Under such natural stimulus conditions, neurons in the visual cortex employ a spatially and …
Under such natural stimulus conditions, neurons in the visual cortex employ a spatially and …
[HTML][HTML] The ripple pond: enabling spiking networks to see
We present the biologically inspired Ripple Pond Network (RPN), a simply connected
spiking neural network which performs a transformation converting two dimensional images …
spiking neural network which performs a transformation converting two dimensional images …