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Author  |
Andrew, R.J. |
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Title |
Changes in visual responsiveness following intercollicular lesions and their effects on avoidance and attack |
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Journal Article |
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Year |
1974 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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10 |
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4-5 |
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400-424 |
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Animals; Chickens; Humans; Male; Mutism; Superior Colliculi/*physiology; Tectum Mesencephali; Testosterone; Visual Fields; Vocalization, Animal |
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In the normal chick, conspicuous visual stimuli induce targetting and pecking together, with vocalization. All three are abolished by lesion of the intercollicular area (ICo) or of connections passing through its medial margin. After such lesions, chicks also cease to treat significant visual stimuli as if they were startling and exciting, and may delay response as a result. However, they are still able to recognise, orient accurately to, and respond appropriately to, a variety of complex visual stimuli (e.g. food grains, copulation object). In addition, they are little affected by strange surroundings. Lesion evidence suggests the mammalian subcollicular area to have similar functions to the ICo and to be homologous with it. A route (present in bird), which is well-known in mammals for its association with threat, defense and escape evoked by strange and frightening objects (amygdala-diencephalic periventricular system-central mesencephalic grey, A-DPS-CMG) is stimuli via the 2 ICo (subcollicular area). Two different mechanisms may be involved caudal to the ICo. One consists of tectal afferents which might modulate the evocation of targetting, pecking and other responses via the tectum. The other is the predorsal system of tectal efferents which may mediate such responses. Classical syndromes of tameness and unresponsiveness produced by various interruptions of the A-DPS-CMG route may depend on interruption of connections to these midbrain mechanisms. Attack is depressed by ICo lesions as one aspect of reduced responsiveness to conspicuous and startling visual stimuli. Avoidance, which is apparently mediated by a separate system, much as in Anura, is facilitated. |
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PMID:1169102 |
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Equine Behaviour @ team @ |
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4626 |
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Cozzi, B.; Povinelli, M.; Ballarin, C.; Granato, A. |
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Title |
The Brain of the Horse: Weight and Cephalization Quotients |
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Journal Article |
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Year |
2014 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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83 |
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1 |
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9-16 |
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The horse is a common domestic animal whose anatomy has been studied since the XVI century. However, a modern neuroanatomy of this species does not exist and most of the data utilized in textbooks and reviews derive from single specimens or relatively old literature. Here, we report information on the brain of Equus caballus obtained by sampling 131 horses, including brain weight (as a whole and subdivided into its constituents), encephalization quotient (EQ), and cerebellar quotient (CQ), and comparisons with what is known about other relevant species. The mean weight of the fresh brains in our experimental series was 598.63 g (SEM ± 7.65), with a mean body weight of 514.12 kg (SEM ± 15.42). The EQ was 0.78 and the CQ was 0.841. The data we obtained indicate that the horse possesses a large, convoluted brain, with a weight similar to that of other hoofed species of like mass. However, the shape of the brain, the noteworthy folding of the neocortex, and the peculiar longitudinal distribution of the gyri suggest an evolutionary specificity at least partially separate from that of the Cetartiodactyla (even-toed mammals and cetaceans) with whom Perissodactyla (odd-toed mammals) are often grouped. |
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Equine Behaviour @ team @ |
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6592 |
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Hampton, R.R.; Sherry, D.F.; Shettleworth, S.J.; Khurgel, M.; Ivy, G. |
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Hippocampal volume and food-storing behavior are related in parids |
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Year |
1995 |
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Brain, behavior and evolution |
Abbreviated Journal |
Brain Behav Evol |
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45 |
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1 |
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54-61 |
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Animals; Appetitive Behavior/*physiology; Birds/*anatomy & histology; Brain Mapping; Evolution; Food Preferences/physiology; Hippocampus/*anatomy & histology; Mental Recall/*physiology; Orientation/*physiology; Predatory Behavior/physiology; Social Environment; Species Specificity |
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The size of the hippocampus has been previously shown to reflect species differences and sex differences in reliance on spatial memory to locate ecologically important resources, such as food and mates. Black-capped chickadees (Parus atricapillus) cached more food than did either Mexican chickadees (P. sclateri) or bridled titmice (P. wollweberi) in two tests of food storing, one conducted in an aviary and another in smaller home cages. Black-capped chickadees were also found to have a larger hippocampus, relative to the size of the telencephalon, than the other two species. Differences in the frequency of food storing behavior among the three species have probably produced differences in the use of hippocampus-dependent memory and spatial information processing to recover stored food, resulting in graded selection for size of the hippocampus. |
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Department of Psychology, University of Toronto, Ontario, Canada |
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0006-8977 |
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PMID:7866771 |
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refbase @ user @ |
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379 |
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Huber, R.; van Staaden, M.J.; Kaufman, L.S.; Liem, K.F. |
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Microhabitat Use, Trophic Patterns, and the Evolution of Brain Structure in African Cichlids |
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1997 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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50 |
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3 |
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167-182 |
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The species assemblages of cichlids in the three largest African Great Lakes are among the richest concentrations of vertebrate species on earth. The faunas are broadly similar in terms of trophic diversity, species richness, rates of endemism, and taxonomic composition, yet they are historically independent of each other. Hence, they offer a true and unique evolutionary experiment to test hypotheses concerning the mutual dependencies of ecology and brain morphology. We examined the brains of 189 species of cichlids from the three large lakes: Victoria, Tanganyika, and Malawi. A first paper demonstrated that patterns of evolutionary change in cichlid brain morphology are similar across taxonomic boundaries as well as across the three lakes [van Staaden et al., 1995 ZACS 98: 165–178]. Here we report a close relationship between the relative sizes of various brain structures and variables related to the utilization of habitat and prey. Causality is difficult to assign in this context, nonetheless, prey size and agility, turbidity levels, depth, and substrate complexity are all highly predictive of variation in brain structure. Areas associated with primary sensory functions such as vision and taste relate significantly to differences in feeding habits. Turbidity and depth are closely associated with differences in eye size, and large eyes are associated with species that pick plankton from the water column. Piscivorous taxa and others that utilize motile prey are characterized by a well developed optic tectum and a large cerebellum compared to species that prey on molluscs or plants. Structures relating to taste are well developed in species feeding on benthos over muddy or sandy substrates. The data militated against the existence of compensatory changes in brain structure. Thus enhanced development of a particular function is generally not accompanied by a parallel reduction of structures related to other modalities. Although genetic and environmental influences during ontogeny of the brain cannot be isolated, this study provides a rich source of hypotheses concerning the way the nervous system functions under various environmental conditions and how it has responded to natural selection. |
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Equine Behaviour @ team @ |
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5454 |
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Lefebvre, L.; Reader, S.M.; Sol, D. |
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Brains, Innovations and Evolution in Birds and Primates |
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Journal Article |
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2004 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain. Behav. Evol. |
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63 |
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4 |
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233-246 |
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Innovation W Brain evolution W Hyperstriatum ventrale W Neostriatum W Isocortex W Birds W Primates W Tool use W Invasion biology |
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Abstract
Several comparative research programs have focusedon the cognitive, life history and ecological traits thataccount for variation in brain size. We review one ofthese programs, a program that uses the reported frequencyof behavioral innovation as an operational measureof cognition. In both birds and primates, innovationrate is positively correlated with the relative size of associationareas in the brain, the hyperstriatum ventrale andneostriatum in birds and the isocortex and striatum inprimates. Innovation rate is also positively correlatedwith the taxonomic distribution of tool use, as well asinterspecific differences in learning. Some features ofcognition have thus evolved in a remarkably similar wayin primates and at least six phyletically-independent avianlineages. In birds, innovation rate is associated withthe ability of species to deal with seasonal changes in theenvironment and to establish themselves in new regions,and it also appears to be related to the rate atwhich lineages diversify. Innovation rate provides a usefultool to quantify inter-taxon differences in cognitionand to test classic hypotheses regarding the evolution ofthe brain. |
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0006-8977 |
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Equine Behaviour @ team @ |
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4738 |
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Author |
Marino, L. |
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Convergence of complex cognitive abilities in cetaceans and primates |
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Journal Article |
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2002 |
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Brain, Behavior and Evolution |
Abbreviated Journal |
Brain Behav Evol |
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59 |
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1-2 |
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21-32 |
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Animal Communication; Animals; Brain/physiology; Cerebral Cortex/physiology; Cetacea/*physiology; Cognition/*physiology; *Evolution; Humans; Intelligence; Primates/*physiology |
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What examples of convergence in higher-level complex cognitive characteristics exist in the animal kingdom? In this paper I will provide evidence that convergent intelligence has occurred in two distantly related mammalian taxa. One of these is the order Cetacea (dolphins, whales and porpoises) and the other is our own order Primates, and in particular the suborder anthropoid primates (monkeys, apes, and humans). Despite a deep evolutionary divergence, adaptation to physically dissimilar environments, and very different neuroanatomical organization, some primates and cetaceans show striking convergence in social behavior, artificial 'language' comprehension, and self-recognition ability. Taken together, these findings have important implications for understanding the generality and specificity of those processes that underlie cognition in different species and the nature of the evolution of intelligence. |
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Neuroscience and Behavioral Biology Program, Emory University, Atlanta, Ga. 30322, USA. lmarino@emory.edu |
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0006-8977 |
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PMID:12097858 |
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Equine Behaviour @ team @ |
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4158 |
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Pepperberg, I.M. |
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In search of king Solomon's ring: cognitive and communicative studies of Grey parrots (Psittacus erithacus) |
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2002 |
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Brain, behavior and evolution |
Abbreviated Journal |
Brain Behav Evol |
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59 |
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1-2 |
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54-67 |
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*Animal Communication; Animals; Attention/physiology; Cognition/*physiology; Cues; Form Perception/physiology; Humans; Intelligence; Learning/physiology; Male; Models, Psychological; Parrots/*physiology; Psychomotor Performance/physiology; Reward; Social Behavior |
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During the past 24 years, I have used a modeling technique (M/R procedure) to train Grey parrots to use an allospecific code (English speech) referentially; I then use the code to test their cognitive abilities. The oldest bird, Alex, labels more than 50 different objects, 7 colors, 5 shapes, quantities to 6, 3 categories (color, shape, material) and uses 'no', 'come here', wanna go X' and 'want Y' (X and Y are appropriate location or item labels). He combines labels to identify, request, comment upon or refuse more than 100 items and to alter his environment. He processes queries to judge category, relative size, quantity, presence or absence of similarity/difference in attributes, and show label comprehension. He semantically separates labeling from requesting. He thus exhibits capacities once presumed limited to humans or nonhuman primates. Studies on this and other Greys show that parrots given training that lacks some aspect of input present in M/R protocols (reference, functionality, social interaction) fail to acquire referential English speech. Examining how input affects the extent to which parrots acquire an allospecific code may elucidate mechanisms of other forms of exceptional learning: learning unlikely in the normal course of development but that can occur under certain conditions. |
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The MIT Media Lab, Cambridge, Mass. 02139, USA. impepper@media.mit.edu |
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0006-8977 |
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PMID:12097860 |
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refbase @ user @ |
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579 |
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Ratcliffe, J.M.; Fenton, M.B.; Shettleworth, S.J. |
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Behavioral flexibility positively correlated with relative brain volume in predatory bats |
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2006 |
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Brain, behavior and evolution |
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Brain Behav Evol |
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67 |
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3 |
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165-176 |
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Adaptation, Psychological; Animals; Behavior, Animal/*physiology; Brain/*anatomy & histology/physiology; Chiroptera/*anatomy & histology/*physiology; Organ Size; Predatory Behavior/*physiology |
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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. |
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Department of Zoology, University of Toronto, Toronto, Canada. jmr247@cornell.edu |
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0006-8977 |
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PMID:16415571 |
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refbase @ user @ |
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358 |
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Shettleworth, S.J. |
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Memory and hippocampal specialization in food-storing birds: challenges for research on comparative cognition |
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Journal Article |
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2003 |
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Brain, behavior and evolution |
Abbreviated Journal |
Brain Behav Evol |
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62 |
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2 |
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108-116 |
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Animals; Birds/*physiology; Cognition/*physiology; Color Perception/physiology; Feeding Behavior/*physiology; Hippocampus/*physiology; Memory/*physiology; Species Specificity |
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The three-way association among food-storing behavior, spatial memory, and hippocampal enlargement in some species of birds is widely cited as an example of a new 'cognitive ecology' or 'neuroecology.' Whether this relationship is as strong as it first appears and whether it might be evidence for an adaptive specialization of memory and hippocampus in food-storers have recently been the subject of some controversy [Bolhuis and Macphail, 2001; Macphail and Bolhuis, 2001]. These critiques are based on misconceptions about the nature of adaptive specializations in cognition, misconceptions about the uniformity of results to be expected from applying the comparative method to data from a wide range of species, and a narrow view of what kinds of cognitive adaptations are theoretically interesting. New analyses of why food-storers (black-capped chickadees, Poecile Atricapilla) respond preferentially to spatial over color cues when both are relevant in a memory task show that this reflects a relative superiority of spatial memory as compared to memory for color rather than exceptional spatial attention or spatial discrimination ability. New studies of chickadees from more or less harsh winter climates also support the adaptive specialization hypothesis and suggest that within-species comparisons may be especially valuable for unraveling details of the relationships among ecology, memory, and brain in food-storing species. |
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Department of Psychology, University of Toronto, Toronto, Ont., M5S 3G3, Canada. shettle@psych.utoronto.ca |
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PMID:12937349 |
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