An energy efficient pipelined architecture is proposed for multi-core object recognition processor. The proposed neuro-fuzzy controller and intelligent estimation of the workload of input video stream enable seamless pipelined operation of the 3 object recognition tasks. The neuro-fuzzy controller extracts the fine-grained region-of-interest, and its task pipelining achieves 60.6fps, 5.8x highe...

We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that implements short-term and long-term memory for objects. A particular focus is the functional realization of online and incremental learning for the task of appearance-based object recognition of many complex-shaped objects...

Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investigates the use of Gaussian process (GP) priors for this area of research. Focusing on the task of one-class classification for visual object recognition, we analyze different measures derived from GP regression and appr...

Exposure to alcohol in utero can induce a variety of physical and mental impairments, collectively known as fetal alcohol spectrum disorders (FASD). This study explores the persistent cognitive consequences of ethanol administration in rat pups over postnatal days (PD) 4-9, modeling human third trimester consumption. Between PD65-70, ethanol-exposed (5E) and control rats were evaluated in two v...

Although environmental enrichment is well known to improve learning and memory in rodents, the underlying neuronal networks' plasticity remains poorly described. Modifications of the brain activation pattern by enriched condition (EC), especially in the frontal cortex and the baso-lateral amygdala, have been reported during an aversive memory task in rodents. The aims of our study were to exami...

This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order to make robots suitable to perform high-level tasks in home environments. However, finding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera ...

There has recently been an increase in interest in the effects of visual interference on memory processing, with the aim of elucidating the role of the perirhinal cortex (PRC) in recognition memory. One view argues that the PRC processes highly complex conjunctions of object features, and recent evidence from rodents suggests that these representations may be vital for buffering against the eff...

An active observer with the task to identify a three-dimensional object is involved in a search for discriminative viewpoints. This paper deenes the recognition process as a sequential decision problem with the objective to disambiguate initial object hypotheses. Reinforcement learning provides an eecient method to evaluate the action sequences and to develop a sensorimotor mapping for autonomo...