Brain activity patterns in flying, echolocating bats (Pteronotus parnellii): Assessment by high resolution autoradiographic imaging with [3H]2-deoxyglucose

Duncan, Gary E.; Henson, O. W.

doi:10.1016/0306-4522(94)90305-0

Cited by 8 publications

(4 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These authors reported a lack of cortical 2‐deoxy‐ d ‐[U‐ 14 C]glucose labelling in restrained, non‐echolocating mustached bats passively exposed to sonar‐like stimuli. More recently, however, Duncan & Henson (1994), by using similar autoradiographic techniques, were able to show that in echolocating, flying P. parnellii the AC is also metabolically very active.…”

Section: Discussionmentioning

confidence: 97%

Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Esser

Eiermann

1999

Eur J of Neuroscience

View full text Add to dashboard Cite

In the short-tailed fruit bat (Carollia perspicillata), the auditory cortex was localized autoradiographically and studied electrophysiologically in detail by using metal microelectrodes and 10-ms tone stimuli. Because, in the weakly-anaesthetized preparation, neuronal responses to pure-tones were even found throughout the non-primary auditory cortex, characteristic frequencies and minimum thresholds of neuron clusters (multiunits) could be mapped consistently and used to define auditory cortical fields conventionally (i.e. as in studies of auditory cortex of non-echolocating mammals). Thus, within the electrophysiologically demarcated auditory cortex, six auditory fields were defined by criteria, as for example a gradient of characteristic frequencies (primary auditory cortex, AI; anterior auditory field, AAF; secondary auditory cortex, AII), reversal of the gradient across the field border (AI, AAF), uniform representation of a restricted band of frequencies (i.e. > 60 kHz; high-frequency fields I and II, HFI and HFII), and transition from low to high minimum thresholds or vice versa [dorsoposterior field (DP), AII, HFI, HFII]. As supportive evidence for the distinction of these auditory cortical fields, differences in neuronal response properties were also used. In comparison with other mammals (e.g. cat and mouse), both the relative position of the auditory fields (mainly AI, AAF, DP and AII) and the representational principles for sound parameters within these forebrain areas seem to reflect a 'fundamental plan' (discussion below) of mammalian auditory cortical organization. Two coherent dorsally displaced high-frequency representations (HFI, HFII) covering approximately 40% of the total auditory cortical surface seem particularly suited for the processing of the dominant biosonar second and third harmonic of this species, and hence can be regarded as an adaptation for echolocation.

show abstract

Section: Discussionmentioning

confidence: 97%

Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Esser

Eiermann

1999

Eur J of Neuroscience

View full text Add to dashboard Cite

show abstract

“…Now that wireless technology has advanced to allow for neuronal recording from untethered animals ( Sarel et al, 2017 ; Nourizonoz et al, 2020 ), future experiments should be performed to see how the avian HF encodes large-scale three-dimensional spatial information during flight. We do know that bats appear to have spherical place fields while flying ( Duncan and Henson, 1994 ; Yartsev and Ulanovsky, 2013 ; Dotson and Yartsev, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Neural Substrates of Homing Pigeon Spatial Navigation: Results From Electrophysiology Studies

Hough

2022

Front. Psychol.

View full text Add to dashboard Cite

Over many centuries, the homing pigeon has been selectively bred for returning home from a distant location. As a result of this strong selective pressure, homing pigeons have developed an excellent spatial navigation system. This system passes through the hippocampal formation (HF), which shares many striking similarities to the mammalian hippocampus; there are a host of shared neuropeptides, interconnections, and its role in the storage and manipulation of spatial maps. There are some notable differences as well: there are unique connectivity patterns and spatial encoding strategies. This review summarizes the comparisons between the avian and mammalian hippocampal systems, and the responses of single neurons in several general categories: (1) location and place cells responding in specific areas, (2) path and goal cells responding between goal locations, (3) context-dependent cells that respond before or during a task, and (4) pattern, grid, and boundary cells that increase firing at stable intervals. Head-direction cells, responding to a specific compass direction, are found in mammals and other birds but not to date in pigeons. By studying an animal that evolved under significant adaptive pressure to quickly develop a complex and efficient spatial memory system, we may better understand the comparative neurology of neurospatial systems, and plot new and potentially fruitful avenues of comparative research in the future.

show abstract

“…Both the gleaning bat Megaderma lyra and the aerial hawking bat Pteronotus parnellii have well developed spatial memory [Neuweiler and Möhres, 1967;Schnitzler et al, 2003], but the functional signifi cance of the hippocampus for echolocating bats is poorly understood [Duncan and Henson, 1994;Neuweiler, 2000]. Home range size might be positively correlated with hippocampus volume in mustelids and rodents [Galea et al, 1996;Healy et al, 2005].…”

Section: Discussionmentioning

confidence: 99%

Behavioral Flexibility Positively Correlated with Relative Brain Volume in Predatory Bats

2006

View full text Add to dashboard Cite

We investigated the potential relationships between foraging strategies and relative brain and brain region volumes in predatory (animal-eating) echolocating bats. The species we considered represent the ancestral state for the order and approximately 70% of living bat species. The two dominant foraging strategies used by echolocating predatory bats are substrate-gleaning (taking prey from surfaces) and aerial hawking (taking airborne prey). We used species-specific behavioral, morphological, and ecological data to classify each of 59 predatory species as one of the following: (1) ground gleaning, (2) behaviorally flexible (i.e., known to both glean and hawk prey), (3) clutter tolerant aerial hawking, or (4) open-space aerial hawking. In analyses using both species level data and phylogenetically independent contrasts, relative brain size was larger in behaviorally flexible species. Further, relative neocortex volume was significantly reduced in bats that aerially hawk prey primarily in open spaces. Conversely, our foraging behavior index did not account for variability in hippocampus and inferior colliculus volume and we discuss these results in the context of past research.

show abstract

Brain activity patterns in flying, echolocating bats (Pteronotus parnellii): Assessment by high resolution autoradiographic imaging with [3H]2-deoxyglucose

Cited by 8 publications

References 48 publications

Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Tonotopic organization and parcellation of auditory cortex in the FM‐bat Carollia perspicillata

Neural Substrates of Homing Pigeon Spatial Navigation: Results From Electrophysiology Studies

Behavioral Flexibility Positively Correlated with Relative Brain Volume in Predatory Bats

Contact Info

Product

Resources

About