Foraging in a complex naturalistic environment: capacity of spatial working memory in flower bats.

J Exp Biol

Department of Biology, University of Munich, 82152 München-Martinsried, Germany.

Published: February 2005

AI Article Synopsis

Article Abstract

Memory systems have evolved under selection pressures, such as the need to remember the locations of resources or past events within spatiotemporally dynamic natural environments. The full repertoire of complex behaviours exhibited by animals in dynamic surroundings are, however, difficult to elicit within simply structured laboratory environments. We have developed a computer-controlled naturalistic environment with 64 feeders for simulating dynamic patterns of water or food resource availability (depletion and replenishment) within the laboratory. The combination of feeder and cage remote control permits the automated transfer of animals between cage and test arena and, therefore, high experimental throughput and minimal disturbance to the animals (bats and mice). In the present study, we investigated spatial working memory in nectar-feeding bats (Glossophaga soricina, Phyllostomidae) collecting food from a 64-feeder array. Feeders gave only single rewards within trials so that efficient foraging required bats to avoid depleted locations. Initially, bats tended to revisit feeders (win-stay), but within three trials changed towards a win-shift strategy. The significant avoidance of revisits could not be explained by algorithmic search guiding movement through the array nor by scent cues left by the bats themselves and, thus, the data suggest that bats remembered spatial locations depleted of food. An examination of the recency effect on spatial working memory after bats shifted to a win-shift strategy indicated that bats held more than 40 behaviour actions (feeder visits) in working memory without indication of decay. This result surpasses previous findings for other taxa.

Download full-text PDF

Source
http://dx.doi.org/10.1242/jeb.01416DOI Listing

Publication Analysis

Top Keywords

working memory
16
spatial working
12
bats
9
naturalistic environment
8
win-shift strategy
8
memory
5
foraging complex
4
complex naturalistic
4
environment capacity
4
spatial
4

Similar Publications

Introduction: While improved medical and surgical care for children with pina bifida has improved their survival, some may have lower cognitive, behavioral and educational performance. The paper assesses the effect of spina bifida on cognitive, behavioral, and educational outcomes in 5-11 year olds.

Methods: A cross-sectional study design was used where data were collected from parents/guardians and teachers using Behavior Rating Inventory of Executive Function, second edition (BRIEF2), Strengths and Difficulties Questionnaire (SDQ), and Teacher Academic Attainment Scale (TAAS).

View Article and Find Full Text PDF

Greater neighborhood disadvantage is associated with poorer global cognition. However, less is known about the variation in the magnitude of neighborhood effects across individual cognitive domains and whether the strength of these associations differs by individual-level factors. The current study investigated these questions in a community sample of older adults ( = 166, mean age = 72.

View Article and Find Full Text PDF

Dissociating the Roles of Alpha Oscillation Sub-Bands in Visual Working Memory.

Neuroimage

January 2025

Institute of Brain and Psychological Sciences, Sichuan Normal University, 610066 Sichuan, China; Brain and Cognitive Neuroscience Research Center, Liaoning Normal University, 116029 Liaoning, China. Electronic address:

Alpha oscillations play a critical role in visual working memory (VWM), but the specific contributions of lower and upper alpha sub-bands remain unclear. To address this, we employed a whole-field change detection paradigm to investigate how alpha power modulation and decoding accuracy differ between these sub-bands in response to varying set sizes and spatial extents of memory arrays. Our results revealed that lower alpha (8-9 Hz) exhibits widespread event-related desynchronization (ERD) during the early maintenance phase, which increases with set size and reflects attentional allocation to individual memory items.

View Article and Find Full Text PDF

Non-alcoholic fatty liver disease is associated with structural covariance network reconfiguration in cognitively unimpaired adults with type 2 diabetes.

Neuroscience

January 2025

Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008 China; Medical Imaging Center, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008 China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing 210008 China; Institute of Brain Science, Nanjing University, Nanjing, China. Electronic address:

Type 2 diabetes (T2D) is often accompanied by non-alcoholic fatty liver disease (NAFLD), both of which are related to brain damage and cognitive impairment. However, cortical structural alteration and its relationship with metabolism and cognition in T2D with NAFLD (T2NAFLD) and without NAFLD (T2noNAFLD) remain unclear. The brain MRI scans, clinical measures and neuropsychological test were evaluated in 50 normal controls (NC), 73 T2noNAFLD, and 58 T2NAFLD.

View Article and Find Full Text PDF

Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

Brain Res Bull

January 2025

School of Life and Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Institute for Advanced Sciences, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Guangyang Bay Laboratory, Chongqing Institute for Brain and Intelligence, Chongqing 400064, China. Electronic address:

Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognitive load intensity due to limited cognitive resources. Optimizing cognitive load can enhance task performance efficiency by preventing resource waste and overload. Therefore, identifying working memory load is an essential area of research.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!