Bird Brain illustration countdown… Introduction & Chapter 1

With just over a week until Bird Brain is published in the UK (4th Aug), I’m posting my original illustrations from the book, chapter-by-chapter. When you all (hopefully) buy the book, you will see how much or how little the published versions have changed from my originals. I probably spent as much time working on the illustrations as I did on the text (and some of you may think that’s no surprise when you read it). Anyway, here are the originals from the Introduction and Chapter 1. I’ll continue posting the rest over the next 10 days.

Bird Evolution copyTimeline 1Timeline 2Comparing BrainsMonkey BrainRook BrainVisual SystemPrefrontal CortexPallial EvolutionCubesDinosaur EQ

Attack of the avian invaders

I had my first journalistic piece published today in The Independent on the perpetual seagull problem. This isn’t a topic I’m particularly interested in or knowledgeable about, but it was a way to publicise my book and they paid, so why not! I’m nothing if not principled…

I don’t say anything particularly novel in the piece, they sexed up the first paragraph and changed the title, but it’s all good experience I suppose. Enjoy.

Conceptual understanding in young avian minds

New Zealand Photos 317

There’s a very interesting paper in today’s Science by Antone Martinho III and Alex Kacelnik at the University of Oxford where they found ducklings imprinted on two moving stimuli that were either the same or different, in either colour or shape. Imprinting is the process by which precocial birds, which hatch fully capable of moving around and feeding themselves, form an attachment to the first colourful, moving object they encounter. This is usually the bird’s mother, but it can be anything moving.This is studied in the lab, by hatching young birds in the dark, then exposing them to a moving object, such as large red triangle. When the same triangle object is presented again, the young bird follows it around, but wot follow anything else. Goslings famously imprinted on the Nobel prize winning ethologist, Konrad Lorenz, following him everywhere he went.

In this new study, Martinho & Kacelnik exposed newly hatched ducklings to two stimuli rather than the typical one, as they were interested in seeing whether young birds could imprint on a concept rather than an object. They exposed ducklings to two coloured balls or a coloured ball and a coloured triangle. The objects were either the same or different colour or shape, a relational concept that cannot be attributed to perception alone. If the ducklings were exposed to two similar coloured balls, they imprinted on the relationship between the balls (whether they were the same colour), but not colour itself. When the ducklings were presented with two balls of a different colour from the original stimuli, but both the same colour, the ducklings followed those novel stimuli around, but not to balls with different colours. By contrast, birds exposed to different coloured balls, imprinted on the concept of ‘different’ and so when presented with two balls of different colours (but different colours from the original stimuli), they also followed them around, but did not follow two balls of the same colour. Other groups of birds that were imprinted on either the same or different shapes, performed the same.

I think this is a very simple, but elegant study that will have important implications for animal cognition. There is a very nice write up of this study in The Atlantic by Ed Yong, in which I’m quoted.

Adorable ducklings have abstract thoughts

A couple of points that I think are important to raise here.

Despite decades of study we still know little about imprinting. The late great Gabriel Horn found that there are two processes involved in imprinting, perceptual (certain features need to be present for a stimulus to become imprinted, for example motion is essential, and these features then become encoded into memory) and memory (remembering the features of the imprinted stimulus which are compared against the current perceived stimulus after imprinting has occurred). These two processes are dependent on different neural mechanisms. The current results add in a level of complexity to this picture. How do you encode a concept? Imprinting occurs without traditional training, as there is no explicit reinforcement (although forming an attachment could be said to be reinforcing) and as long as it happens during a sensitive period, it only takes one exposure of an appropriate stimulus for it to occur. The fact that the imprinted stimulus can be a relational concept rather than a specific object asks many questions about the nature of what a young bird focuses on during imprinting. It seems unlikely the birds see the two imprinted objects as one, as those two objects are either the same or different (shape or colour) resulting in the same effects when exposed to novel stimuli.

This research also asks questions about the nature of concepts. For ducklings to be capable of relational concepts – and there are good biological reasons why young precocial birds may need to recognise that two stimuli are the same or different  – suggests we may need to rethink how complex such concepts are. Perhaps these young birds’ survival is dependent on forming such concepts, especially social birds that need to keep track of their siblings as well as their mother. We are constantly finding cases of presumably complex cognition in species assumed incapable of such abilities, such as bees, fish or young chicks being capable of discriminating between different numbers of objects. This study reveals that we have much more to learn about cognitive abilities presumed only to be within the domain of intelligent creatures, such as corvids, parrots and primates.




Bird Brain – a flick through

With my book Bird Brain coming out in August, and the excitement in Emery Towers at almost fever pitch (well a fever that has been heavily treated with paracetamol and rapidly getting better), I thought I would post a video of a flick through of the book, so you can get an idea of its contents. It’s very heavily illustrated, not only with beautiful photographs (including some of my own), but also lots of illustrations. I created all the illustrations, but then Ivy Press had three talented illustrators to manipulate them into their house style. I loved the original, but the changes have really improved upon them. I’ll start posting my originals close to the book’s publication date so you can get an idea of how they differ.

Unfortunately, because of my plan on WordPress, I cannot post videos and it’s not worth it for what they charge per month. However, I’m going to try to post it on Twitter, so please check it out there (if i can get it to work).


The avian brain as an engineering problem

Indian myna

It’s no longer surprising that some birds are smart. Indeed, scientists studying avian cognition have been trying to get this idea across for over 20 years. That doesn’t seem to stop some journalists using the same tired old clichés to describe the latest findings that such and such a bird, usually a corvid or a parrot, has done something unexpected. They frequently use headlines, such as ‘why birdbrain should now be used as a compliment’, or ‘birds are not as stupid as previously thought’, even though these same headlines have been used dozens of times in the past. I hold up my hands and admit to using some of the same clichés when writing my book Bird Brain (but I did feel really bad about it!). It’s very easy to lapse into cliché when talking about birds when so many everyday terms use birds as the subject: ‘as the crow flies’. ‘birdbrained’, ‘feathered friends’, ‘ eggheads’, etc. These are gifts for journalists talking to the public about the capabilities of birds and I understand why they do it. They often don’t have the time to go into the nitty-gritty of a research paper, or they don’t think that the public care about such details or the methods are difficult to grasp. Thankfully, there are a group of science writers and journalists, such as Ed Yong, Jason Goldman, Carl Zimmer and Grrlscientist who avoid this trap. The point of this blog post, however, is not to rant about science journalists, but to ask that we move on from ‘Isn’t it amazing that birds do X’ stories to ‘How is it that (some) birds can do X?’ stories.

A study published on-line this week in Proceedings of the National Academy of Sciences by Seweryn Olkowicz and colleagues* has started to get to the heart of that very question. How are tiny-brained birds capable of the same intellectual feats as their larger, hairier distantly-related cousins? This team took a different track by not comparing the cognitive abilities of birds with primates, rather looking in detail at their brains, specifically the number of their neurons. One of the authors, Suzana Herculano-Houzel developed a novel technique over 10 years ago, called the isotropic fractionator**. This technique helped to dispel the common myth that the human brain has 100 billion neurons (she found that the actual number is around 86 billion, but what are 14 billion neurons between friends?). In their current study, this technique allowed them to count the number of neurons in the brains of a number of corvids and parrots, as well as ancestral bird species, such as red jungle fowl, pigeons and emus, and compared them to neuron numbers in rats, mice and various primates***. They found that songbirds and parrots had twice as many neurons across the whole brain than mammals of a similar brain size, including primates. For example, a Galago (bushbaby) has 936 million neurons in a 10.2g brain, whereas a Sulphur-crested cockatoo has 2122 million neurons in the same sized brain. When Oskowicz and colleagues counted the number of cells across subdivisions of the brain, such as the pallium (the area equivalent to the mammalian cortex) or the cortex, as well as the subpallium and cerebellum, they found that the number of pallial neurons in corvids or parrots (with their much smaller brains), was always greater than the number of cortical neurons in primates. For example, a 10.2g raven brain has 1204 million pallial neurons, but a capuchin has 1140 million neurons in a brain almost four times larger (39.18g). Similarly, a blue-and-yellow macaw brain (14.38g) has 1914 million pallial neurons, whereas a macaque has only 1710 million cortical neurons in a brain almost five times larger (69.83g).

What do these large numbers mean for our understanding of avian intelligence? Birds have evolved brains that can cram more neural stuff into them, even though they are generally smaller than mammals. The need to reduce body size (and subsequently brain size) for flight may have driven this adaptation. There are two ways birds could have increased the number of their brain cells; either by reducing the size of their neurons or reducing the number of their neural connections. Birds probably did both. Try to visualize the problem by imagining two boxes of the same size. Each box needs to be filled with as any balls as possible, but each box is designated for a particular sport, each using its own type of balls. You fill one box with tennis balls, the other with pingpong balls. More pingpong balls fit into the box because they are smaller, but they are also lighter, and cannot travel as far as tennis balls (so they are useless for tennis). Fewer tennis balls fit into the box because they are larger, but they have a greater capacity to bounce and are more difficult to control in a smaller space (so useless for table tennis). Each ball has different properties that make it ideal for a specific task. These boxes represent cubes of brain tissue, one from primate cortex, the other from avian pallium. Like these balls, neurons in the avian pallium are different from neurons in the primate cortex. They are smaller, with reduced dendritic trees, and shorter connections. The question is, how do these properties make some birds as smart as apes?

Remember that brains aren’t just collections of neuronal cell bodies, they also contain the wiring (dendrites and axons) that connects them together. Dendrites are the short projections sprouting from cell bodies that typically receive information from neighbouring neurons, whereas axons are longer fibres that transmit information to neurons located further away. Larger brains tend to have more axons than smaller brains, as these cables take up valuable brain space. You may think that increasing the number of neurons, as found in corvid and parrot pallium, will also increase the proportional connectivity between neurons (i.e. that increasing the number of neurons increases the number of connections between all neurons). However, this isn’t how brains work, as there isn’t the space available for this amount of additional wiring. To maintain processing efficiency, the number of connections per neuron in bird brains has to remain stable (absolute connectivity). In birds, neighbouring neurons are more likely to talk to one another than neurons that are far apart. But this leads to a problem. What if two regions need to communicate, but they aren’t directly connected?  By keeping the total number of connections limited, information that has to get from A to B, has to go via C, D, E and F, rather than a direct course from A to B. This is rather inefficient.

Primate brains contain many long axons that can transmit information directly from A to B, but these connections take up a lot of brain space. These axons are typically found projecting out of the different layers of the grey matter creating the underlying white matter. There are obvious benefits to this type of neural organisation, but one that cannot be sustained in the avian brain. We therefore expect to see a completely different pattern in birds. There are no layers in the avian brain (apart from within the primary sensory areas). Instead, neurons form into dense clusters of cells (nuclei); neural pockets with specific functions. Neurons within these nuclei have a high level of interconnectivity with their close neighbours. However, to avoid the problem of reduced transmission efficiency through adding lots of processing steps between areas located further apart, some long-range connections are added. There is very efficient local processing within nuclei, then the information is passed on to the next processing stage via sparse long connections. This is akin to the small-world architecture of certain social networks and corporations. Such a system results in a highly modular system, one that allows specific brain regions to process information of a selective form before transmitting that information further afield through longer connections. This type of neural network probably allows birds to process information rapidly and effectively, but also in a highly flexible manner. One system isn’t necessarily better than another, only that such different systems are capable of producing cognitive outputs that appear very similar to one another.

As yet, this remains a theory, as we don’t know how neuronal density relates to the cognitive output of different brains. There is still a paucity of data on the detailed structure and function of avian brains, especially in corvids and parrots, and it is going to take collaborations between neuroscientists, computer scientists and engineers in order to make some sense of the unbelievably complex relationship between brain and cognition, even in a simpler model than our own.

*Seweryn Olkowicz, Martin Kocourek, Radek Lucan, Michal Porteš & Pavel Nemec [Charles University, Prague], Tecumseh Fitch [University of Vienna] and Suzana Herculano-Houzel [Vanderbilt University] (2016), Birds have primate-like numbers of neurons in the forebrain. PNAS, doi/10.1073/pnas.1517131113.

**The isotropic fractionator method uses post-mortem brains which are fixed with paraformaldehyde. Then the brains (or dissected brain regions) are made into a ‘brain soup’, using a detergent to destroy the membranes in the cell walls, but which maintains the integrity of the cell nuclei that can then be counted. A fluorescent blue dye was then added to the soup to allow for the visualisation of the remaining neuronal cell bodies under a fluorescence microscope. Neurons in small samples could be counted very quickly and the total number of neurons in the whole brain (or a brain region) were estimated from the portions of soup to the total amount of the soup. This method is much faster than typical stereological methods that require brains to be thinly sliced into sections, stained, and then reconstructed (as some neurons will span across sections and become cut during the sectioning process.

***Unfortunately, the great apes were not included in this analysis. This would have been the most interesting comparison with regard to our proposition that the complex cognition of apes and corvids (and probably parrots) evolved convergently. However, it is also clear why ape brains were unavailable based on the lack of brain material.