The receptor architecture of the pigeons’ nidopallium caudolaterale: an avian analogue to the mammalian prefrontal cortex

Herold, Christina; Palomero‐Gallagher, Nicola; Hellmann, Burkhard; Kröner, Sven; Theiß, Carsten; Güntürkün, Onur; Zilles, Karl

doi:10.1007/s00429-011-0301-5

Cited by 71 publications

(71 citation statements)

References 132 publications

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“…For example, in rats, 5-HT 1A receptor modulations in the mPFC have been shown to be very important for optimal attention functioning (Carli et al, 2006). 5-HT 1A receptor densities in the nidopallium are comparable with those found in frontal areas of humans and monkeys (Herold et al, 2011;Goldman-Rakic et al, 1990) but are different from the findings in rats (Herold et al, 2011;Pazos and Palacios, 1985).…”

Section: Discussionmentioning

confidence: 94%

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Serotonin 5-HT1A receptor binding sites in the brain of the pigeon (Columba livia)

et al. 2012

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Serotonin (5-HT) is a modulatory neurotransmitter that is involved in a variety of physiological and behavioral functions. In mammals, dysfunction of the serotonergic system has been linked to various diseases such as depression, schizophrenia, Alzheimer's disease, and eating disorders (Müller et al., 2007;Michelsen et al., 2008;Remington, 2008;Terry et al., 2008;Akimova et al., 2009;Polter and Li, 2010). In addition, growing evidence found in many species indicates that 5-HT modulates learning and memory (Jacobs and Azmitia, 1992;Winsauer et al., 1996; Meneses, 1999;Clarke et al., 2004; Meneses and PerezGarcia, 2007;Müller et al., 2007;Bert et al., 2008;Gasbarri et al., 2008;González-Burgos and Feria-Velasco, 2008;Sitaraman et al., 2008;Sambeth et al., 2009;Bari et al., 2010).Serotonin binds to multiple receptors (Hoyer et al., 2002;Green, 2006), which are widely distributed throughout the brain (Chalmers and Watson, 1991;Baumgarten and Grozdanovic, 1995;Barnes and Sharp, 1999;Riad et al., 2000). One of the most prominent is the 5-HT 1A receptor, which was first cloned and described by Fargin et al. (1988). The 5-HT 1A receptor belongs to the G protein coupled receptor superfamily and binds to a Gi/o protein (Innis and Aghajanian, 1987;Polter and Li, 2010). It displays a high affinity for 5-HT and occurs both pre-and postsynaptically (Hall et al., 1985;van Wijngaarden et al., 1990;Riad et al., 2000). As somatodendritic autoreceptors, 5-HT 1A receptors modulate the activity of 5-HT neurons, whereas they modify neuronal activity in terminal areas as postsynaptic receptors (Müller et al., 2007).The distribution of 5-HT 1A receptors in the brain has been investigated by several methods in rodents, nonhuman primates, and humans. Thereby, a high correlation between receptor binding with [3H]-8-hydroxy-2-(di-n-propylamino)tetralin ([ 3 H]-8-OH-DPAT) and 5-HT 1A mRNA densities has been shown (Chalmers and Watson, 1991;Pompeiano et al., 1992). High 5-HT 1A receptor densities were detected in the dorsal and median raphe nuclei and in areas of the limbic system such as the hippocampus, the lateral septum, the amygdala, as well as the entorhinal and cingulate cortices Zilles et al., 1985Zilles et al., , 2000Palacios et al., 1990;Yilmazer-Hanke et al., 2003). Moderate binding was detected in the olfactory bulb, the thalamus, hypothalamus, and several brain stem nuclei as well as neocortical areas. Low levels, or no binding, were reported in the basal ganglia and cerebellum (Gozlan et al., 1983;Marcinkiewicz et al., 1984;Zilles et al., 1985Zilles et al., , 2000Hall et al., 1997;Vergé et al., 1986;Albert et al., 1990;Palacios et al., 1990;Pompeiano et al., 1992;Khawaja, 1995; Kia et al., 1996a,b;Farde et al., 1997;Raurich et al., 1999;Hume et al., 2001;Maeda et al., 2001;Geyer et al., 2005;Palchaudhuri and Flügge, 2005;Eickhoff et al., 2007;Topic et al., 2007). 5-HT 1A receptors play a role in executive functions, anxiety related behavior, learning and reinforcement, feeding behavior, and locomotor activity (Zilles et al., 2...

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Section: Discussionmentioning

confidence: 94%

“…In addition, the associative (Güntürkün, 2005) forebrain structure NCL was also densely labeled, and could be subdivided into a medial and a lateral part (Herold et al, 2011). The dense receptor labeling is in contrast to the few serotonergic terminals within NCL (Challet et al, 1996).…”

Section: Discussionmentioning

confidence: 96%

Serotonin 5-HT1A receptor binding sites in the brain of the pigeon (Columba livia)

et al. 2012

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“…Birds also have an executive region thought to be similar to the mammalian prefrontal cortex, called the nidopallium caudolaterale (101,102). Importantly, the nidopallium caudolaterale directly projects to motor regions and has indirect access to the hippocampus through the area parahippocampalis (101) (Fig.…”

Section: Brain Structures Important For Episodic Memorymentioning

confidence: 99%

The evolution of episodic memory

Allen

Fortin

2013

Proc. Natl. Acad. Sci. U.S.A.

276

198

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One prominent view holds that episodic memory emerged recently in humans and lacks a "(neo)Darwinian evolution" [Tulving E (2002) Annu Rev Psychol 53:1-25]. Here, we review evidence supporting the alternative perspective that episodic memory has a long evolutionary history. We show that fundamental features of episodic memory capacity are present in mammals and birds and that the major brain regions responsible for episodic memory in humans have anatomical and functional homologs in other species. We propose that episodic memory capacity depends on a fundamental neural circuit that is similar across mammalian and avian species, suggesting that protoepisodic memory systems exist across amniotes and, possibly, all vertebrates. The implication is that episodic memory in diverse species may primarily be due to a shared underlying neural ancestry, rather than the result of evolutionary convergence. We also discuss potential advantages that episodic memory may offer, as well as species-specific divergences that have developed on top of the fundamental episodic memory architecture. We conclude by identifying possible time points for the emergence of episodic memory in evolution, to help guide further research in this area.animal models | hippocampus | prefrontal cortex | parahippocampal region | entorhinal cortex

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“…Some good references here are (Farris and Sinakevitch 2003) (basic theoretical background), (Sjöholm et al 2005) (very good on mushroom body discussions) and (Haehnel and Menzel 2010). Also, birds have an analogue of prefrontal cortex which is useful to think about: see (Herrold et al 2011) and (Wang et al 2010). The point here is that trying to answer high level questions about how a neural system leads to behavior and some level of cognition (again useful for autonomous robotics) can be helped by looking at other models.…”

Section: Discussionmentioning

confidence: 99%

Computation in networks

Peterson

2015

Comput Cogn Sci

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We present an introduction to the modeling of networks of nodes which parse the information presented to them into an output. One example is the nodes are excitable neurons which are collected into a nervous system for an animal whether invertebrate or vertebrate. We will focus on the development of the ideas and tools that might help us understand how to build a model of such a system being careful to explain the many approximations or model errors we make along the way. We start with a discussion of low level biophysical concepts such as the cable equation and the Hodgkin -Huxley model and end with graph based models of computation. We also include motivational arguments that show hardware and software issues in neural models are interwined. ReviewIn this article, we will discuss some of the principles behind models of biological information processing. As usual, we therefore use tools at the interface between science, mathematics and computer science. We want to find the right abstraction of the wealth of biological detail that is available; the right design to guide us in the development of our modeling environment. The details of how proteins interact, how genes interact and how neural modules interact to generate the high level outputs we find both interesting and useful are known to some degree but it is quite difficult to use this detailed information to build models of high level function. In all models of this type, we are asking high level questions and wondering how we might create a model that gives us some insight. All such models have built in assumptions and we must train ourselves to think abut these carefully. We must question the abstractions of the messiness of reality that led to the model and be prepared to adjust the modeling process if the world as experienced is different from what the model leads them to expect. There are three primary sources of error when we build models. First, there is the error we make when we abstract from reality; we make choices about which things we are measuring are important. We make further choices about how these things relate to one another. Perhaps we model this with mathematics, diagrams, words etc; whatever we choose to do, there is error we make. This is called Model error. Then, we make error when we use computational tools to solve our abstract models which is called Truncation error. Finally, since we can not store numbers exactly in any computer system, there is always a loss of accuracy because of this. This is called Round Off error. All three of these errors are always present and so the question is how do we know the solutions our models suggest relate to the real world? We must take the modeling results and go back to original data to make sure the model has relevance.With all this said, let's start looking at the fundamental building blocks of information transmission in a living neural system. The neurotransmitters and other signaling molecules to accomplish coordination of effort between individual cells were laid down probably in ...

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The receptor architecture of the pigeons’ nidopallium caudolaterale: an avian analogue to the mammalian prefrontal cortex

Cited by 71 publications

References 132 publications

Serotonin 5-HT1A receptor binding sites in the brain of the pigeon (Columba livia)

Serotonin 5-HT1A receptor binding sites in the brain of the pigeon (Columba livia)

The evolution of episodic memory

Computation in networks

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